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You searched for subject:(Gaussian approximation). Showing records 1 – 30 of 47 total matches.

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University of Arizona

1. Leach, Andrew Bradford. Monte Carlo Methods for Stochastic Differential Equations and their Applications .

Degree: 2017, University of Arizona

 We introduce computationally efficient Monte Carlo methods for studying the statistics of stochastic differential equations in two distinct settings. In the first, we derive importance… (more)

Subjects/Keywords: Continuation; Gaussian Approximation; Importance Sampling; Monte Carlo Methods; Stochastic Approximation; Stochastic Differential Equations

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APA (6th Edition):

Leach, A. B. (2017). Monte Carlo Methods for Stochastic Differential Equations and their Applications . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/624570

Chicago Manual of Style (16th Edition):

Leach, Andrew Bradford. “Monte Carlo Methods for Stochastic Differential Equations and their Applications .” 2017. Doctoral Dissertation, University of Arizona. Accessed March 19, 2019. http://hdl.handle.net/10150/624570.

MLA Handbook (7th Edition):

Leach, Andrew Bradford. “Monte Carlo Methods for Stochastic Differential Equations and their Applications .” 2017. Web. 19 Mar 2019.

Vancouver:

Leach AB. Monte Carlo Methods for Stochastic Differential Equations and their Applications . [Internet] [Doctoral dissertation]. University of Arizona; 2017. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/10150/624570.

Council of Science Editors:

Leach AB. Monte Carlo Methods for Stochastic Differential Equations and their Applications . [Doctoral Dissertation]. University of Arizona; 2017. Available from: http://hdl.handle.net/10150/624570


Iowa State University

2. Sang, Hejian. Approximate Bayesian approaches and semiparametric methods for handling missing data.

Degree: 2018, Iowa State University

 This thesis consists of four research papers focusing on estimation and inference in missing data. In the first paper (Chapter 2), an approximate Bayesian approach… (more)

Subjects/Keywords: Bayesian approximation computing; Gaussian Mixture Models; Profile likelihood; Sparse model; Statistics and Probability

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APA (6th Edition):

Sang, H. (2018). Approximate Bayesian approaches and semiparametric methods for handling missing data. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16748

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sang, Hejian. “Approximate Bayesian approaches and semiparametric methods for handling missing data.” 2018. Thesis, Iowa State University. Accessed March 19, 2019. https://lib.dr.iastate.edu/etd/16748.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sang, Hejian. “Approximate Bayesian approaches and semiparametric methods for handling missing data.” 2018. Web. 19 Mar 2019.

Vancouver:

Sang H. Approximate Bayesian approaches and semiparametric methods for handling missing data. [Internet] [Thesis]. Iowa State University; 2018. [cited 2019 Mar 19]. Available from: https://lib.dr.iastate.edu/etd/16748.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sang H. Approximate Bayesian approaches and semiparametric methods for handling missing data. [Thesis]. Iowa State University; 2018. Available from: https://lib.dr.iastate.edu/etd/16748

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

3. Gulati, Kapil. Radio frequency interference modeling and mitigation in wireless receivers.

Degree: Electrical and Computer Engineering, 2011, University of Texas – Austin

 In wireless communication systems, receivers have generally been designed under the assumption that the additive noise in system is Gaussian. Wireless receivers, however, are affected… (more)

Subjects/Keywords: Interference; Statistical modeling; Stochastic approximation; Network performance analysis; Non-Gaussian impulsive noise; RFI mitigation

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APA (6th Edition):

Gulati, K. (2011). Radio frequency interference modeling and mitigation in wireless receivers. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-08-3773

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gulati, Kapil. “Radio frequency interference modeling and mitigation in wireless receivers.” 2011. Thesis, University of Texas – Austin. Accessed March 19, 2019. http://hdl.handle.net/2152/ETD-UT-2011-08-3773.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gulati, Kapil. “Radio frequency interference modeling and mitigation in wireless receivers.” 2011. Web. 19 Mar 2019.

Vancouver:

Gulati K. Radio frequency interference modeling and mitigation in wireless receivers. [Internet] [Thesis]. University of Texas – Austin; 2011. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-3773.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gulati K. Radio frequency interference modeling and mitigation in wireless receivers. [Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-3773

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Akron

4. Le, Anh Duc. Fundamental Limits of Communication Channels under Non-Gaussian Interference.

Degree: PhD, Electrical Engineering, 2016, University of Akron

 Recent years have witnessed an exponential growth in data traffic over both wired and wireless links. This unabated growth in demand for data and dense… (more)

Subjects/Keywords: Engineering; Electrical Engineering; Communication; non-Gaussian channels; Gaussian mixture; Rayleigh fading; achievable rates; capacity; Gaussian input; discrete inputs; optimal input; piecewise linear approximation

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APA (6th Edition):

Le, A. D. (2016). Fundamental Limits of Communication Channels under Non-Gaussian Interference. (Doctoral Dissertation). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1469011496

Chicago Manual of Style (16th Edition):

Le, Anh Duc. “Fundamental Limits of Communication Channels under Non-Gaussian Interference.” 2016. Doctoral Dissertation, University of Akron. Accessed March 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1469011496.

MLA Handbook (7th Edition):

Le, Anh Duc. “Fundamental Limits of Communication Channels under Non-Gaussian Interference.” 2016. Web. 19 Mar 2019.

Vancouver:

Le AD. Fundamental Limits of Communication Channels under Non-Gaussian Interference. [Internet] [Doctoral dissertation]. University of Akron; 2016. [cited 2019 Mar 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1469011496.

Council of Science Editors:

Le AD. Fundamental Limits of Communication Channels under Non-Gaussian Interference. [Doctoral Dissertation]. University of Akron; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1469011496


Queensland University of Technology

5. Simpson, Daniel Peter. Krylov subspace methods for approximating functions of symmetric positive definite matrices with applications to applied statistics and anomalous diffusion.

Degree: 2008, Queensland University of Technology

 Matrix function approximation is a current focus of worldwide interest and finds application in a variety of areas of applied mathematics and statistics. In this… (more)

Subjects/Keywords: Fractional Laplacian, Fractional Poisson equation, Generalised Matern random field, Gaussian Markov random field, Krylov subspace, Lanczos approximation, M-Lanczos approximation, Matrix Functions, Matrix transfer technique, Restarted Lanczos approximation; Stieltjes transform

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APA (6th Edition):

Simpson, D. P. (2008). Krylov subspace methods for approximating functions of symmetric positive definite matrices with applications to applied statistics and anomalous diffusion. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/29751/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Simpson, Daniel Peter. “Krylov subspace methods for approximating functions of symmetric positive definite matrices with applications to applied statistics and anomalous diffusion.” 2008. Thesis, Queensland University of Technology. Accessed March 19, 2019. https://eprints.qut.edu.au/29751/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Simpson, Daniel Peter. “Krylov subspace methods for approximating functions of symmetric positive definite matrices with applications to applied statistics and anomalous diffusion.” 2008. Web. 19 Mar 2019.

Vancouver:

Simpson DP. Krylov subspace methods for approximating functions of symmetric positive definite matrices with applications to applied statistics and anomalous diffusion. [Internet] [Thesis]. Queensland University of Technology; 2008. [cited 2019 Mar 19]. Available from: https://eprints.qut.edu.au/29751/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Simpson DP. Krylov subspace methods for approximating functions of symmetric positive definite matrices with applications to applied statistics and anomalous diffusion. [Thesis]. Queensland University of Technology; 2008. Available from: https://eprints.qut.edu.au/29751/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


EPFL

6. Patoz, Aurélien Kevin Fabrice. Geometric Integrators for Nonadiabatic Molecular Quantum Dynamics Induced by the Interaction with the Electromagnetic Field.

Degree: 2017, EPFL

 Understanding the elementary steps involved in a chemical reaction forms the cornerstone of physical chemistry research. One way to deepen this understanding is by studying… (more)

Subjects/Keywords: time-dependent Schrödinger equation; split-operator; Magnus expansion; time-dependent perturbation theory; Condon approximation; rotating-wave approximation; ultrashort-pulse approximation; d-pulse approximation; on-the-fly ab initio thawed Gaussian approximation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Patoz, A. K. F. (2017). Geometric Integrators for Nonadiabatic Molecular Quantum Dynamics Induced by the Interaction with the Electromagnetic Field. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/232499

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Patoz, Aurélien Kevin Fabrice. “Geometric Integrators for Nonadiabatic Molecular Quantum Dynamics Induced by the Interaction with the Electromagnetic Field.” 2017. Thesis, EPFL. Accessed March 19, 2019. http://infoscience.epfl.ch/record/232499.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Patoz, Aurélien Kevin Fabrice. “Geometric Integrators for Nonadiabatic Molecular Quantum Dynamics Induced by the Interaction with the Electromagnetic Field.” 2017. Web. 19 Mar 2019.

Vancouver:

Patoz AKF. Geometric Integrators for Nonadiabatic Molecular Quantum Dynamics Induced by the Interaction with the Electromagnetic Field. [Internet] [Thesis]. EPFL; 2017. [cited 2019 Mar 19]. Available from: http://infoscience.epfl.ch/record/232499.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Patoz AKF. Geometric Integrators for Nonadiabatic Molecular Quantum Dynamics Induced by the Interaction with the Electromagnetic Field. [Thesis]. EPFL; 2017. Available from: http://infoscience.epfl.ch/record/232499

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

7. Chang, Feng-cheng. Novel Gaussian Integer Sparse Code Multiple Access.

Degree: Master, Communications Engineering, 2016, NSYSU

 Sparse code multiple access (SCMA) is proposed for 5th generation mobile networks. Because SCMA has good spectrum efficiency. Each user is assigned a SCMA codebook,… (more)

Subjects/Keywords: Peak to Average Power Ratio; Gaussian Approximation of Interference; Sparse Gaussian Integer Perfect Sequence; Message Passing Algorithm; Codebook Design; SCMA; Multiple User Detector

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APA (6th Edition):

Chang, F. (2016). Novel Gaussian Integer Sparse Code Multiple Access. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722116-110404

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chang, Feng-cheng. “Novel Gaussian Integer Sparse Code Multiple Access.” 2016. Thesis, NSYSU. Accessed March 19, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722116-110404.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chang, Feng-cheng. “Novel Gaussian Integer Sparse Code Multiple Access.” 2016. Web. 19 Mar 2019.

Vancouver:

Chang F. Novel Gaussian Integer Sparse Code Multiple Access. [Internet] [Thesis]. NSYSU; 2016. [cited 2019 Mar 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722116-110404.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chang F. Novel Gaussian Integer Sparse Code Multiple Access. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722116-110404

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

8. Konomi, Bledar. Bayesian Spatial Modeling of Complex and High Dimensional Data.

Degree: 2012, Texas A&M University

 The main objective of this dissertation is to apply Bayesian modeling to different complex and high-dimensional spatial data sets. I develop Bayesian hierarchical spatial models… (more)

Subjects/Keywords: Object classification; Image segmentation; Nanoparticles; Markov-chain Monte-carlo; Bayesian shape analysis; Predictive process; Full-scale approximation; Bayesian treed Gaussian process

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APA (6th Edition):

Konomi, B. (2012). Bayesian Spatial Modeling of Complex and High Dimensional Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10267

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Konomi, Bledar. “Bayesian Spatial Modeling of Complex and High Dimensional Data.” 2012. Thesis, Texas A&M University. Accessed March 19, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10267.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Konomi, Bledar. “Bayesian Spatial Modeling of Complex and High Dimensional Data.” 2012. Web. 19 Mar 2019.

Vancouver:

Konomi B. Bayesian Spatial Modeling of Complex and High Dimensional Data. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10267.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Konomi B. Bayesian Spatial Modeling of Complex and High Dimensional Data. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10267

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Oxford

9. Fowkes, Jaroslav Mrazek. Bayesian numerical analysis : global optimization and other applications.

Degree: 2011, University of Oxford

 We present a unifying framework for the global optimization of functions which are expensive to evaluate. The framework is based on a Bayesian interpretation of… (more)

Subjects/Keywords: 518.2; Numerical analysis : Probability theory and stochastic processes : global optimization : surrogate approximation : radial basis functions : gaussian processes

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APA (6th Edition):

Fowkes, J. M. (2011). Bayesian numerical analysis : global optimization and other applications. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:ab268fe7-f757-459e-b1fe-a4a9083c1cba ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556674

Chicago Manual of Style (16th Edition):

Fowkes, Jaroslav Mrazek. “Bayesian numerical analysis : global optimization and other applications.” 2011. Doctoral Dissertation, University of Oxford. Accessed March 19, 2019. http://ora.ox.ac.uk/objects/uuid:ab268fe7-f757-459e-b1fe-a4a9083c1cba ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556674.

MLA Handbook (7th Edition):

Fowkes, Jaroslav Mrazek. “Bayesian numerical analysis : global optimization and other applications.” 2011. Web. 19 Mar 2019.

Vancouver:

Fowkes JM. Bayesian numerical analysis : global optimization and other applications. [Internet] [Doctoral dissertation]. University of Oxford; 2011. [cited 2019 Mar 19]. Available from: http://ora.ox.ac.uk/objects/uuid:ab268fe7-f757-459e-b1fe-a4a9083c1cba ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556674.

Council of Science Editors:

Fowkes JM. Bayesian numerical analysis : global optimization and other applications. [Doctoral Dissertation]. University of Oxford; 2011. Available from: http://ora.ox.ac.uk/objects/uuid:ab268fe7-f757-459e-b1fe-a4a9083c1cba ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556674


EPFL

10. Wehrle, Marius. Evaluation and analysis of vibrationally resolved electronic spectra with ab initio semiclassical dynamics.

Degree: 2015, EPFL

 Linear and nonlinear spectroscopy techniques are widely used to study numerous important chemical and physical processes. However, the interpretation of these experimental spectra often becomes… (more)

Subjects/Keywords: on-the-fly ab initio semiclassical dynamics; accelerating quantum dynamics; split-operator method; linear spectroscopy; oligothiophene; ammonia; thawed Gaussian approximation

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APA (6th Edition):

Wehrle, M. (2015). Evaluation and analysis of vibrationally resolved electronic spectra with ab initio semiclassical dynamics. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/212705

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wehrle, Marius. “Evaluation and analysis of vibrationally resolved electronic spectra with ab initio semiclassical dynamics.” 2015. Thesis, EPFL. Accessed March 19, 2019. http://infoscience.epfl.ch/record/212705.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wehrle, Marius. “Evaluation and analysis of vibrationally resolved electronic spectra with ab initio semiclassical dynamics.” 2015. Web. 19 Mar 2019.

Vancouver:

Wehrle M. Evaluation and analysis of vibrationally resolved electronic spectra with ab initio semiclassical dynamics. [Internet] [Thesis]. EPFL; 2015. [cited 2019 Mar 19]. Available from: http://infoscience.epfl.ch/record/212705.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wehrle M. Evaluation and analysis of vibrationally resolved electronic spectra with ab initio semiclassical dynamics. [Thesis]. EPFL; 2015. Available from: http://infoscience.epfl.ch/record/212705

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


EPFL

11. Dragoni, Daniele. Energetics and thermodynamics of α-iron from first-principles and machine-learning potentials.

Degree: 2016, EPFL

 Iron is a material of fundamental importance in the industrial and economic processes of our society as it is the major constituent of steels. With… (more)

Subjects/Keywords: Gaussian approximation potentials; density-functional theory; embedded atom method potentials; iron; body centered cubic; thermodynamics; thermoelasticity; machine learning; magnetism

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APA (6th Edition):

Dragoni, D. (2016). Energetics and thermodynamics of α-iron from first-principles and machine-learning potentials. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/216845

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dragoni, Daniele. “Energetics and thermodynamics of α-iron from first-principles and machine-learning potentials.” 2016. Thesis, EPFL. Accessed March 19, 2019. http://infoscience.epfl.ch/record/216845.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dragoni, Daniele. “Energetics and thermodynamics of α-iron from first-principles and machine-learning potentials.” 2016. Web. 19 Mar 2019.

Vancouver:

Dragoni D. Energetics and thermodynamics of α-iron from first-principles and machine-learning potentials. [Internet] [Thesis]. EPFL; 2016. [cited 2019 Mar 19]. Available from: http://infoscience.epfl.ch/record/216845.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dragoni D. Energetics and thermodynamics of α-iron from first-principles and machine-learning potentials. [Thesis]. EPFL; 2016. Available from: http://infoscience.epfl.ch/record/216845

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Ohio University

12. Wu, Xiaoming. Approximation using linear fitting neural network: Polynomial approach and gaussian approach.

Degree: MS, Electrical Engineering & Computer Science (Engineering and Technology), 1991, Ohio University

Subjects/Keywords: Approximation; Linear Fitting Neural Network; Polynomial Approach; Gaussian Approach

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APA (6th Edition):

Wu, X. (1991). Approximation using linear fitting neural network: Polynomial approach and gaussian approach. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1183989182

Chicago Manual of Style (16th Edition):

Wu, Xiaoming. “Approximation using linear fitting neural network: Polynomial approach and gaussian approach.” 1991. Masters Thesis, Ohio University. Accessed March 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1183989182.

MLA Handbook (7th Edition):

Wu, Xiaoming. “Approximation using linear fitting neural network: Polynomial approach and gaussian approach.” 1991. Web. 19 Mar 2019.

Vancouver:

Wu X. Approximation using linear fitting neural network: Polynomial approach and gaussian approach. [Internet] [Masters thesis]. Ohio University; 1991. [cited 2019 Mar 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1183989182.

Council of Science Editors:

Wu X. Approximation using linear fitting neural network: Polynomial approach and gaussian approach. [Masters Thesis]. Ohio University; 1991. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1183989182


University of British Columbia

13. Morgan, David C. A Gaussian approximation to the effective potential .

Degree: 1987, University of British Columbia

 This thesis investigates some of the properties of a variational approximation to scalar field theories: a trial wavefunctional which has a gaussian form is used… (more)

Subjects/Keywords: Scalar field theory; Physics  – Approximation methods; Gaussian processes

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APA (6th Edition):

Morgan, D. C. (1987). A Gaussian approximation to the effective potential . (Thesis). University of British Columbia. Retrieved from http://hdl.handle.net/2429/26500

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Morgan, David C. “A Gaussian approximation to the effective potential .” 1987. Thesis, University of British Columbia. Accessed March 19, 2019. http://hdl.handle.net/2429/26500.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Morgan, David C. “A Gaussian approximation to the effective potential .” 1987. Web. 19 Mar 2019.

Vancouver:

Morgan DC. A Gaussian approximation to the effective potential . [Internet] [Thesis]. University of British Columbia; 1987. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/2429/26500.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Morgan DC. A Gaussian approximation to the effective potential . [Thesis]. University of British Columbia; 1987. Available from: http://hdl.handle.net/2429/26500

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waterloo

14. Motahari, Seyed Abolfazl. Interference Management in Non-cooperative Networks.

Degree: 2009, University of Waterloo

 Spectrum sharing is known as a key solution to accommodate the increasing number of users and the growing demand for throughput in wireless networks. While… (more)

Subjects/Keywords: Interference Channels; Interference Alignment; Diophantine Approximation; Convex Optimization; Non-cooperative Networks; Interference Management; Gaussian Channels; Random Codebooks; Structural Codes

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APA (6th Edition):

Motahari, S. A. (2009). Interference Management in Non-cooperative Networks. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/4824

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Motahari, Seyed Abolfazl. “Interference Management in Non-cooperative Networks.” 2009. Thesis, University of Waterloo. Accessed March 19, 2019. http://hdl.handle.net/10012/4824.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Motahari, Seyed Abolfazl. “Interference Management in Non-cooperative Networks.” 2009. Web. 19 Mar 2019.

Vancouver:

Motahari SA. Interference Management in Non-cooperative Networks. [Internet] [Thesis]. University of Waterloo; 2009. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/10012/4824.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Motahari SA. Interference Management in Non-cooperative Networks. [Thesis]. University of Waterloo; 2009. Available from: http://hdl.handle.net/10012/4824

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Purdue University

15. Manish, Raja. Profile fitting in crowded astronomical images.

Degree: MSin Aeronautics and Astronautics, Aeronautics and Astronautics, 2016, Purdue University

 Around 18,000 known objects currently populate the near Earth space. These constitute active space assets as well as space debris objects. The tracking and cataloging… (more)

Subjects/Keywords: celestial images; centroid estimation; charge-coupled device (CCD); Gaussian approximation; sensor noise; space situational awareness (SSA)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Manish, R. (2016). Profile fitting in crowded astronomical images. (Thesis). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_theses/1189

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Manish, Raja. “Profile fitting in crowded astronomical images.” 2016. Thesis, Purdue University. Accessed March 19, 2019. https://docs.lib.purdue.edu/open_access_theses/1189.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Manish, Raja. “Profile fitting in crowded astronomical images.” 2016. Web. 19 Mar 2019.

Vancouver:

Manish R. Profile fitting in crowded astronomical images. [Internet] [Thesis]. Purdue University; 2016. [cited 2019 Mar 19]. Available from: https://docs.lib.purdue.edu/open_access_theses/1189.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Manish R. Profile fitting in crowded astronomical images. [Thesis]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_theses/1189

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Newcastle

16. Jayasooriya, Jayasooriya Arachchige Sachini Nisansala. Multi-edge type density evolution: analysis, code optimization and applications to raptor code design.

Degree: PhD, 2017, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

The field of error correcting codes has been revolutionized by the introduction of graph-based codes, such as low-density… (more)

Subjects/Keywords: LDPC codes; MET-LDPC codes; density evolution; code optimzation; raptor codes; belief-propagation; Gaussian approximation; modulation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jayasooriya, J. A. S. N. (2017). Multi-edge type density evolution: analysis, code optimization and applications to raptor code design. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1343092

Chicago Manual of Style (16th Edition):

Jayasooriya, Jayasooriya Arachchige Sachini Nisansala. “Multi-edge type density evolution: analysis, code optimization and applications to raptor code design.” 2017. Doctoral Dissertation, University of Newcastle. Accessed March 19, 2019. http://hdl.handle.net/1959.13/1343092.

MLA Handbook (7th Edition):

Jayasooriya, Jayasooriya Arachchige Sachini Nisansala. “Multi-edge type density evolution: analysis, code optimization and applications to raptor code design.” 2017. Web. 19 Mar 2019.

Vancouver:

Jayasooriya JASN. Multi-edge type density evolution: analysis, code optimization and applications to raptor code design. [Internet] [Doctoral dissertation]. University of Newcastle; 2017. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/1959.13/1343092.

Council of Science Editors:

Jayasooriya JASN. Multi-edge type density evolution: analysis, code optimization and applications to raptor code design. [Doctoral Dissertation]. University of Newcastle; 2017. Available from: http://hdl.handle.net/1959.13/1343092


Rochester Institute of Technology

17. Glauser, Lincoln. The Design of a 24-bit Hardware Gaussian Noise Generator via the Box-Muller Method and its Error Analysis.

Degree: MS, Electrical Engineering, 2017, Rochester Institute of Technology

  In regards to data transmission in communication systems, there is need for robust emulation of communication channels via Gaussian noise generation. Over time, larger… (more)

Subjects/Keywords: Noise generators; Random number generation; Approximation methods; Error analysis; Optimization methods; Gaussian processes; Parity check codes

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Glauser, L. (2017). The Design of a 24-bit Hardware Gaussian Noise Generator via the Box-Muller Method and its Error Analysis. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9572

Chicago Manual of Style (16th Edition):

Glauser, Lincoln. “The Design of a 24-bit Hardware Gaussian Noise Generator via the Box-Muller Method and its Error Analysis.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed March 19, 2019. https://scholarworks.rit.edu/theses/9572.

MLA Handbook (7th Edition):

Glauser, Lincoln. “The Design of a 24-bit Hardware Gaussian Noise Generator via the Box-Muller Method and its Error Analysis.” 2017. Web. 19 Mar 2019.

Vancouver:

Glauser L. The Design of a 24-bit Hardware Gaussian Noise Generator via the Box-Muller Method and its Error Analysis. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2019 Mar 19]. Available from: https://scholarworks.rit.edu/theses/9572.

Council of Science Editors:

Glauser L. The Design of a 24-bit Hardware Gaussian Noise Generator via the Box-Muller Method and its Error Analysis. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9572


University of Florida

18. Guo,Jennifer D. Random-Effects Approaches Comparisons in Meta-Analysis Data Simulation with Binomial Outcomes.

Degree: PhD, Pharmaceutical Sciences - Pharmaceutical Outcomes and Policy, 2011, University of Florida

 The empirical (classical) random-effects models provide biased summary effect sizes and generate too narrow 95% CI due to three factors: (a) treating random weights as… (more)

Subjects/Keywords: Analytical estimating; Approximation; Data simulation; Experimentation; Gaussian distributions; Meta analysis; Modeling; Sample size; Statistics; T distribution; analysis  – binomial  – meta  – outcome

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APA (6th Edition):

D, G. (2011). Random-Effects Approaches Comparisons in Meta-Analysis Data Simulation with Binomial Outcomes. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043308

Chicago Manual of Style (16th Edition):

D, Guo,Jennifer. “Random-Effects Approaches Comparisons in Meta-Analysis Data Simulation with Binomial Outcomes.” 2011. Doctoral Dissertation, University of Florida. Accessed March 19, 2019. http://ufdc.ufl.edu/UFE0043308.

MLA Handbook (7th Edition):

D, Guo,Jennifer. “Random-Effects Approaches Comparisons in Meta-Analysis Data Simulation with Binomial Outcomes.” 2011. Web. 19 Mar 2019.

Vancouver:

D G. Random-Effects Approaches Comparisons in Meta-Analysis Data Simulation with Binomial Outcomes. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Mar 19]. Available from: http://ufdc.ufl.edu/UFE0043308.

Council of Science Editors:

D G. Random-Effects Approaches Comparisons in Meta-Analysis Data Simulation with Binomial Outcomes. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043308


Universidade do Rio Grande do Sul

19. Heinen, Milton Roberto. A connectionist approach for incremental function approximation and on-line tasks.

Degree: 2011, Universidade do Rio Grande do Sul

Este trabalho propõe uma nova abordagem conexionista, chamada de IGMN (do inglês Incremental Gaussian Mixture Network), para aproximação incremental de funções e tarefas de tempo… (more)

Subjects/Keywords: Machine learning; Inteligência artificial; Redes bayesianas; Artificial neural networks; Aprendizagem : Maquina; Incremental learning; Cluster; Bayesian methods; Robótica; Gaussian mixture models; Function approximation; Regression; Clustering; Reinforcement learning; Autonomous mobile robots

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Heinen, M. R. (2011). A connectionist approach for incremental function approximation and on-line tasks. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/29015

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Heinen, Milton Roberto. “A connectionist approach for incremental function approximation and on-line tasks.” 2011. Thesis, Universidade do Rio Grande do Sul. Accessed March 19, 2019. http://hdl.handle.net/10183/29015.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Heinen, Milton Roberto. “A connectionist approach for incremental function approximation and on-line tasks.” 2011. Web. 19 Mar 2019.

Vancouver:

Heinen MR. A connectionist approach for incremental function approximation and on-line tasks. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2011. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/10183/29015.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Heinen MR. A connectionist approach for incremental function approximation and on-line tasks. [Thesis]. Universidade do Rio Grande do Sul; 2011. Available from: http://hdl.handle.net/10183/29015

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Florida

20. Chen, Fuhua. Multiphase Image Segmentation Based on Intensity Statistics Modeling and Applications.

Degree: PhD, Mathematics, 2012, University of Florida

 Image segmentation is  the first stage of image processing and analysis. The result of image segmentation is used for image post-processing. In computer vision, segmentation… (more)

Subjects/Keywords: Algorithms; Approximation; Computer vision; Gaussian distributions; Gray matter; Image processing; Membership functions; Pixels; Stochastic models; White matter; image  – multiphase  – processing  – segmentation  – supervised

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chen, F. (2012). Multiphase Image Segmentation Based on Intensity Statistics Modeling and Applications. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044393

Chicago Manual of Style (16th Edition):

Chen, Fuhua. “Multiphase Image Segmentation Based on Intensity Statistics Modeling and Applications.” 2012. Doctoral Dissertation, University of Florida. Accessed March 19, 2019. http://ufdc.ufl.edu/UFE0044393.

MLA Handbook (7th Edition):

Chen, Fuhua. “Multiphase Image Segmentation Based on Intensity Statistics Modeling and Applications.” 2012. Web. 19 Mar 2019.

Vancouver:

Chen F. Multiphase Image Segmentation Based on Intensity Statistics Modeling and Applications. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Mar 19]. Available from: http://ufdc.ufl.edu/UFE0044393.

Council of Science Editors:

Chen F. Multiphase Image Segmentation Based on Intensity Statistics Modeling and Applications. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044393


University of Florida

21. Francolin, Camila C. Costate Estimation in Optimal Control Problems Using Orthogonal Collocation at Gaussian Quadrature Points.

Degree: PhD, Aerospace Engineering - Mechanical and Aerospace Engineering, 2013, University of Florida

 Costate estimation is an important step in the numerical solution of optimal control problems as it provides a reliable way of verifying the optimality of… (more)

Subjects/Keywords: Approximation; Cost estimates; Degrees of polynomials; Estimation methods; Matrices; Necessary conditions for optimality; Optimal control; Point estimators; Polynomials; Textual collocation; control  – costate  – estimation  – gaussian  – optimal  – quaerature

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Francolin, C. C. (2013). Costate Estimation in Optimal Control Problems Using Orthogonal Collocation at Gaussian Quadrature Points. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045808

Chicago Manual of Style (16th Edition):

Francolin, Camila C. “Costate Estimation in Optimal Control Problems Using Orthogonal Collocation at Gaussian Quadrature Points.” 2013. Doctoral Dissertation, University of Florida. Accessed March 19, 2019. http://ufdc.ufl.edu/UFE0045808.

MLA Handbook (7th Edition):

Francolin, Camila C. “Costate Estimation in Optimal Control Problems Using Orthogonal Collocation at Gaussian Quadrature Points.” 2013. Web. 19 Mar 2019.

Vancouver:

Francolin CC. Costate Estimation in Optimal Control Problems Using Orthogonal Collocation at Gaussian Quadrature Points. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Mar 19]. Available from: http://ufdc.ufl.edu/UFE0045808.

Council of Science Editors:

Francolin CC. Costate Estimation in Optimal Control Problems Using Orthogonal Collocation at Gaussian Quadrature Points. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045808


Queensland University of Technology

22. Kang, Su Yun. Bayesian models for spatio-temporal assessment of disease.

Degree: 2014, Queensland University of Technology

 This thesis has contributed to the advancement of knowledge in disease modelling by addressing interesting and crucial issues relevant to modelling health data over space… (more)

Subjects/Keywords: Bayesian modelling; spatio-temporal; spatial epidemiology; spatial scales; temporal scales; spatial smoothing; grid level modelling; integrated nested Laplace approximation; intrinsic Gaussian Markov random field; intrinsic conditional autoregression

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APA (6th Edition):

Kang, S. Y. (2014). Bayesian models for spatio-temporal assessment of disease. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/75476/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kang, Su Yun. “Bayesian models for spatio-temporal assessment of disease.” 2014. Thesis, Queensland University of Technology. Accessed March 19, 2019. https://eprints.qut.edu.au/75476/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kang, Su Yun. “Bayesian models for spatio-temporal assessment of disease.” 2014. Web. 19 Mar 2019.

Vancouver:

Kang SY. Bayesian models for spatio-temporal assessment of disease. [Internet] [Thesis]. Queensland University of Technology; 2014. [cited 2019 Mar 19]. Available from: https://eprints.qut.edu.au/75476/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kang SY. Bayesian models for spatio-temporal assessment of disease. [Thesis]. Queensland University of Technology; 2014. Available from: https://eprints.qut.edu.au/75476/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Oulu

23. Kemppainen, A. (Anssi). Adaptive methods for autonomous environmental modelling.

Degree: 2018, University of Oulu

Abstract In this thesis, we consider autonomous environmental modelling, where robotic sensing platforms are utilized in environmental surveying. In order to allow a wide range… (more)

Subjects/Keywords: Gaussian process; action planning; approximation algorithm; diffusion kernel; localization; mutual information; non-stationarity; robotic sensing; sensing quality; Gaussin prosessi; approksimoiva algoritmi; diffuusiokernel; ei-stationaarisuus; kartoituksen laatu; keskinäisinformaatio; ohjaus; paikannus; robottimittaus

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kemppainen, A. (. (2018). Adaptive methods for autonomous environmental modelling. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9789526218519

Chicago Manual of Style (16th Edition):

Kemppainen, A (Anssi). “Adaptive methods for autonomous environmental modelling.” 2018. Doctoral Dissertation, University of Oulu. Accessed March 19, 2019. http://urn.fi/urn:isbn:9789526218519.

MLA Handbook (7th Edition):

Kemppainen, A (Anssi). “Adaptive methods for autonomous environmental modelling.” 2018. Web. 19 Mar 2019.

Vancouver:

Kemppainen A(. Adaptive methods for autonomous environmental modelling. [Internet] [Doctoral dissertation]. University of Oulu; 2018. [cited 2019 Mar 19]. Available from: http://urn.fi/urn:isbn:9789526218519.

Council of Science Editors:

Kemppainen A(. Adaptive methods for autonomous environmental modelling. [Doctoral Dissertation]. University of Oulu; 2018. Available from: http://urn.fi/urn:isbn:9789526218519


University of Southern California

24. Raghunathan, Shesha Shayee K. Topics in modeling, analysis and simulation of near-term quantum physical systems with continuous monitoring.

Degree: PhD, Electrical Engineering, 2010, University of Southern California

 In this work, we study two important problems in the quantum world: single-photon source and single-spin measurement.; Single-photon source: We consider a quantum dot that… (more)

Subjects/Keywords: quantum trajectories; stochastic master equation; single-photon source; magnetic resonance force microscopy; single-spin measurement; indistinguishability; single-photon probability; Gaussian approximation; spin-relaxation; quantum continuous measurements; continuous monitoring

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APA (6th Edition):

Raghunathan, S. S. K. (2010). Topics in modeling, analysis and simulation of near-term quantum physical systems with continuous monitoring. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/397852/rec/7501

Chicago Manual of Style (16th Edition):

Raghunathan, Shesha Shayee K. “Topics in modeling, analysis and simulation of near-term quantum physical systems with continuous monitoring.” 2010. Doctoral Dissertation, University of Southern California. Accessed March 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/397852/rec/7501.

MLA Handbook (7th Edition):

Raghunathan, Shesha Shayee K. “Topics in modeling, analysis and simulation of near-term quantum physical systems with continuous monitoring.” 2010. Web. 19 Mar 2019.

Vancouver:

Raghunathan SSK. Topics in modeling, analysis and simulation of near-term quantum physical systems with continuous monitoring. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Mar 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/397852/rec/7501.

Council of Science Editors:

Raghunathan SSK. Topics in modeling, analysis and simulation of near-term quantum physical systems with continuous monitoring. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/397852/rec/7501


University of Florida

25. Hou, Hongyan. Convergence Analysis of Orthogonal Collocation Methods for Unconstrained Optimal Control.

Degree: PhD, Mathematics, 2013, University of Florida

Subjects/Keywords: Approximation; Control theory; Degrees of polynomials; Gaussian quadratures; Interpolation; Matrices; Optimal control; Polynomials; Quadratic programming; Textual collocation; convergence; gaussian-collocation-mehtod; lebesgue-constant

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hou, H. (2013). Convergence Analysis of Orthogonal Collocation Methods for Unconstrained Optimal Control. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045697

Chicago Manual of Style (16th Edition):

Hou, Hongyan. “Convergence Analysis of Orthogonal Collocation Methods for Unconstrained Optimal Control.” 2013. Doctoral Dissertation, University of Florida. Accessed March 19, 2019. http://ufdc.ufl.edu/UFE0045697.

MLA Handbook (7th Edition):

Hou, Hongyan. “Convergence Analysis of Orthogonal Collocation Methods for Unconstrained Optimal Control.” 2013. Web. 19 Mar 2019.

Vancouver:

Hou H. Convergence Analysis of Orthogonal Collocation Methods for Unconstrained Optimal Control. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Mar 19]. Available from: http://ufdc.ufl.edu/UFE0045697.

Council of Science Editors:

Hou H. Convergence Analysis of Orthogonal Collocation Methods for Unconstrained Optimal Control. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045697


EPFL

26. Luisier, Florian. The SURE-LET approach to image denoising.

Degree: 2010, EPFL

 Denoising is an essential step prior to any higher-level image-processing tasks such as segmentation or object tracking, because the undesirable corruption by noise is inherent… (more)

Subjects/Keywords: image; video; denoising; thresholding; wavelets; multiscale; Stein's unbiased risk estimate (SURE); linear expansion of thresholds (LET); risk; MSE; estimation; approximation; Gaussian; Poisson; microscopy; fluorescence; multidimensional; nonlinear; fast; image; vidéo; débruitage; seuillage; ondelettes; multi-échelles; estimation du risque non-biaisée de Stein (SURE); combinaison linéaire de fonctions de seuillage (LET); risque; MSE; estimation; approximation; gaussien; poissonnien; microscopie; fluorescence; multi-dimensionnel; non-linéaire; rapide

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APA (6th Edition):

Luisier, F. (2010). The SURE-LET approach to image denoising. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/142014

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Luisier, Florian. “The SURE-LET approach to image denoising.” 2010. Thesis, EPFL. Accessed March 19, 2019. http://infoscience.epfl.ch/record/142014.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Luisier, Florian. “The SURE-LET approach to image denoising.” 2010. Web. 19 Mar 2019.

Vancouver:

Luisier F. The SURE-LET approach to image denoising. [Internet] [Thesis]. EPFL; 2010. [cited 2019 Mar 19]. Available from: http://infoscience.epfl.ch/record/142014.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Luisier F. The SURE-LET approach to image denoising. [Thesis]. EPFL; 2010. Available from: http://infoscience.epfl.ch/record/142014

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

27. Mbuvha, Rendani. Bayesian Neural Networks for Short Term Wind Power Forecasting.

Degree: Computer Science and Communication (CSC), 2017, KTH

In recent years, wind and other variable renewable energy sources have gained a rapidly increasing share of the global energy mix. In this context… (more)

Subjects/Keywords: Bayesian; Neural Networks; Wind Energy; Forecasting; Renewable Energy; Gaussian; Approximation; Computer Sciences; Datavetenskap (datalogi)

…Models. • A Gaussian Approximation approach to training Bayesian Models will be considered… …approaches. In Chapter 3 the Gaussian Approximation formulation of Bayesian Neural Networks by… …formulation. Optimization of the posterior likelihood can be done by Gaussian Approximation (… …given the model - this is referred to the ´evidence‘. We now present a Gaussian Approximation… …x29; proposes a Gaussian Approximation to the posterior based on a second order Taylor… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mbuvha, R. (2017). Bayesian Neural Networks for Short Term Wind Power Forecasting. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210725

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mbuvha, Rendani. “Bayesian Neural Networks for Short Term Wind Power Forecasting.” 2017. Thesis, KTH. Accessed March 19, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210725.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mbuvha, Rendani. “Bayesian Neural Networks for Short Term Wind Power Forecasting.” 2017. Web. 19 Mar 2019.

Vancouver:

Mbuvha R. Bayesian Neural Networks for Short Term Wind Power Forecasting. [Internet] [Thesis]. KTH; 2017. [cited 2019 Mar 19]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210725.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mbuvha R. Bayesian Neural Networks for Short Term Wind Power Forecasting. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210725

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia Tech

28. Reed, Joshua E. Queueing Models for Large Scale Call Centers.

Degree: PhD, Industrial and Systems Engineering, 2007, Georgia Tech

 In the first half of this thesis, we extend the results of Halfin and Whitt to generally distributed service times. This is accomplished by first… (more)

Subjects/Keywords: Diffusion approximation; Queueing theory; Halfin and Whitt; Stochastics; Applied probability; Gaussian process; Call centers; Queuing theory

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APA (6th Edition):

Reed, J. E. (2007). Queueing Models for Large Scale Call Centers. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/16332

Chicago Manual of Style (16th Edition):

Reed, Joshua E. “Queueing Models for Large Scale Call Centers.” 2007. Doctoral Dissertation, Georgia Tech. Accessed March 19, 2019. http://hdl.handle.net/1853/16332.

MLA Handbook (7th Edition):

Reed, Joshua E. “Queueing Models for Large Scale Call Centers.” 2007. Web. 19 Mar 2019.

Vancouver:

Reed JE. Queueing Models for Large Scale Call Centers. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Mar 19]. Available from: http://hdl.handle.net/1853/16332.

Council of Science Editors:

Reed JE. Queueing Models for Large Scale Call Centers. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/16332


University of Florida

29. Rumcheva, Pavlina. Projected multivariate linear models for directional data.

Degree: PhD, Statistics, 2005, University of Florida

Subjects/Keywords: Approximation; Gaussian distributions; Matrices; P values; Quantiles; Resultants; Sample mean; Sample size; Simulations; Statistics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rumcheva, P. (2005). Projected multivariate linear models for directional data. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/AA00039351

Chicago Manual of Style (16th Edition):

Rumcheva, Pavlina. “Projected multivariate linear models for directional data.” 2005. Doctoral Dissertation, University of Florida. Accessed March 19, 2019. http://ufdc.ufl.edu/AA00039351.

MLA Handbook (7th Edition):

Rumcheva, Pavlina. “Projected multivariate linear models for directional data.” 2005. Web. 19 Mar 2019.

Vancouver:

Rumcheva P. Projected multivariate linear models for directional data. [Internet] [Doctoral dissertation]. University of Florida; 2005. [cited 2019 Mar 19]. Available from: http://ufdc.ufl.edu/AA00039351.

Council of Science Editors:

Rumcheva P. Projected multivariate linear models for directional data. [Doctoral Dissertation]. University of Florida; 2005. Available from: http://ufdc.ufl.edu/AA00039351


University of Florida

30. Gueorguieva, Ralitza, 1971-. Models for repeated measures of a multivariate response.

Degree: PhD, Statistics, 1999, University of Florida

Subjects/Keywords: Approximation; Gaussian quadratures; Maximum likelihood estimations; Modeling; Sample size; Simulations; Standard error; Statistical discrepancies; Statistical models; Statistics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gueorguieva, Ralitza, 1. (1999). Models for repeated measures of a multivariate response. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/AA00020402

Chicago Manual of Style (16th Edition):

Gueorguieva, Ralitza, 1971-. “Models for repeated measures of a multivariate response.” 1999. Doctoral Dissertation, University of Florida. Accessed March 19, 2019. http://ufdc.ufl.edu/AA00020402.

MLA Handbook (7th Edition):

Gueorguieva, Ralitza, 1971-. “Models for repeated measures of a multivariate response.” 1999. Web. 19 Mar 2019.

Vancouver:

Gueorguieva, Ralitza 1. Models for repeated measures of a multivariate response. [Internet] [Doctoral dissertation]. University of Florida; 1999. [cited 2019 Mar 19]. Available from: http://ufdc.ufl.edu/AA00020402.

Council of Science Editors:

Gueorguieva, Ralitza 1. Models for repeated measures of a multivariate response. [Doctoral Dissertation]. University of Florida; 1999. Available from: http://ufdc.ufl.edu/AA00020402

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