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You searched for +publisher:"University of Florida" +contributor:("Rao, Murali "). Showing records 1 – 30 of 38 total matches.

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University of Florida

1. Iuhasz, Naomi. Introduction to Phylogenetics a Study of Maximum Parsimony and Maximum Likelihood Methods.

Degree: MS, Mathematics, 2010, University of Florida

 In this thesis we investigate the conceptual framework of phylogenetics together with two of the most popular methods of inferring phylogenetic relationships. Some notation and… (more)

Subjects/Keywords: Biological evolution; Leaves; Maximum likelihood estimations; Molecular evolution; Parsimony; Phylogenetics; Phylogeny; Plant roots; Species; Vertices; likelihood, parsimony, phylogenetics

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APA (6th Edition):

Iuhasz, N. (2010). Introduction to Phylogenetics a Study of Maximum Parsimony and Maximum Likelihood Methods. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041558

Chicago Manual of Style (16th Edition):

Iuhasz, Naomi. “Introduction to Phylogenetics a Study of Maximum Parsimony and Maximum Likelihood Methods.” 2010. Masters Thesis, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0041558.

MLA Handbook (7th Edition):

Iuhasz, Naomi. “Introduction to Phylogenetics a Study of Maximum Parsimony and Maximum Likelihood Methods.” 2010. Web. 17 Aug 2019.

Vancouver:

Iuhasz N. Introduction to Phylogenetics a Study of Maximum Parsimony and Maximum Likelihood Methods. [Internet] [Masters thesis]. University of Florida; 2010. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0041558.

Council of Science Editors:

Iuhasz N. Introduction to Phylogenetics a Study of Maximum Parsimony and Maximum Likelihood Methods. [Masters Thesis]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0041558


University of Florida

2. Debroy, Swati. Hepatitis C Infection in the Human Liver Viral Dynamics, Treatment and Related Side-Effects.

Degree: PhD, Mathematics, 2011, University of Florida

 Treatment of Hepatitis C Virus (HCV) infection is fraught with side-effects and successful in only 50% of the treated patients. Our goal in this dissertation… (more)

Subjects/Keywords: Anemia; Dosage; Epics; Hepatocytes; Infections; Mathematical models; Modeling; Parametric models; Viral load; Virion; anemia  – bistability  – hepatitisc  – interferon  – ribavirin  – svr

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APA (6th Edition):

Debroy, S. (2011). Hepatitis C Infection in the Human Liver Viral Dynamics, Treatment and Related Side-Effects. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043674

Chicago Manual of Style (16th Edition):

Debroy, Swati. “Hepatitis C Infection in the Human Liver Viral Dynamics, Treatment and Related Side-Effects.” 2011. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0043674.

MLA Handbook (7th Edition):

Debroy, Swati. “Hepatitis C Infection in the Human Liver Viral Dynamics, Treatment and Related Side-Effects.” 2011. Web. 17 Aug 2019.

Vancouver:

Debroy S. Hepatitis C Infection in the Human Liver Viral Dynamics, Treatment and Related Side-Effects. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0043674.

Council of Science Editors:

Debroy S. Hepatitis C Infection in the Human Liver Viral Dynamics, Treatment and Related Side-Effects. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043674


University of Florida

3. Milliken, Evan. Metapopulation Models of Infectious Salmon Anemia.

Degree: PhD, Mathematics, 2017, University of Florida

 Infectious Salmon Anemia (ISA) is an infectious disease affecting a variety of a variety of fin fish including Atlantic salmon (Salmo salar L.). ISA is… (more)

Subjects/Keywords: epidemiology  – extinction  – metapopulation  – outbreak

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APA (6th Edition):

Milliken, E. (2017). Metapopulation Models of Infectious Salmon Anemia. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050893

Chicago Manual of Style (16th Edition):

Milliken, Evan. “Metapopulation Models of Infectious Salmon Anemia.” 2017. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0050893.

MLA Handbook (7th Edition):

Milliken, Evan. “Metapopulation Models of Infectious Salmon Anemia.” 2017. Web. 17 Aug 2019.

Vancouver:

Milliken E. Metapopulation Models of Infectious Salmon Anemia. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0050893.

Council of Science Editors:

Milliken E. Metapopulation Models of Infectious Salmon Anemia. [Doctoral Dissertation]. University of Florida; 2017. Available from: http://ufdc.ufl.edu/UFE0050893


University of Florida

4. Singh Alvarado, Alexander. Time-Based Sampling using the Integrate and Fire Model.

Degree: PhD, Electrical and Computer Engineering, 2012, University of Florida

 The digital era is founded on the fact that analog signals have an equivalent representation in the digital domain. Nevertheless, turning to biology there are… (more)

Subjects/Keywords: Action potentials; Approximation; Electrocardiography; Engineering; Error rates; Heart rate; Mathematical vectors; Neurons; Signal processing; Signals; fire

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APA (6th Edition):

Singh Alvarado, A. (2012). Time-Based Sampling using the Integrate and Fire Model. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043614

Chicago Manual of Style (16th Edition):

Singh Alvarado, Alexander. “Time-Based Sampling using the Integrate and Fire Model.” 2012. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0043614.

MLA Handbook (7th Edition):

Singh Alvarado, Alexander. “Time-Based Sampling using the Integrate and Fire Model.” 2012. Web. 17 Aug 2019.

Vancouver:

Singh Alvarado A. Time-Based Sampling using the Integrate and Fire Model. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0043614.

Council of Science Editors:

Singh Alvarado A. Time-Based Sampling using the Integrate and Fire Model. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0043614


University of Florida

5. 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 (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 August 17, 2019. http://ufdc.ufl.edu/UFE0044393.

MLA Handbook (7th Edition):

Chen, Fuhua. “Multiphase Image Segmentation Based on Intensity Statistics Modeling and Applications.” 2012. Web. 17 Aug 2019.

Vancouver:

Chen F. Multiphase Image Segmentation Based on Intensity Statistics Modeling and Applications. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Aug 17]. 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

6. Goswami, Tathagata. Multiuser Diversity - Enhanced Geographic Transmissions in Wireless Channels.

Degree: PhD, Electrical and Computer Engineering, 2009, University of Florida

 In wireless multi-hop packet radio networks, the conventional packet forwarding scheme is to pre-select the next-hop receiver for a packet based on knowledge of the… (more)

Subjects/Keywords: Expected values; Geographic regions; Mathematical optima; Radio; Random variables; Rayleigh fading; Receivers; Sensors; Supernova remnants; Transmitters; adhocnetworks, channelfading, geographictransmissions, multiuserdiversity, nodeactivation, optimumpower, transmissiondistance, transportcapacity, wirelesschannels

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APA (6th Edition):

Goswami, T. (2009). Multiuser Diversity - Enhanced Geographic Transmissions in Wireless Channels. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0024965

Chicago Manual of Style (16th Edition):

Goswami, Tathagata. “Multiuser Diversity - Enhanced Geographic Transmissions in Wireless Channels.” 2009. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0024965.

MLA Handbook (7th Edition):

Goswami, Tathagata. “Multiuser Diversity - Enhanced Geographic Transmissions in Wireless Channels.” 2009. Web. 17 Aug 2019.

Vancouver:

Goswami T. Multiuser Diversity - Enhanced Geographic Transmissions in Wireless Channels. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0024965.

Council of Science Editors:

Goswami T. Multiuser Diversity - Enhanced Geographic Transmissions in Wireless Channels. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0024965


University of Florida

7. Posirca, Iulia M. Variational Models for Simultaneous Image Segmentation and Noise Removal.

Degree: PhD, Mathematics, 2012, University of Florida

 We present two projects for simultaneous image segmentation and noise removal. The first project concerns the images corrupted with Gaussian noise and the second one… (more)

Subjects/Keywords: Data smoothing; Image processing; Image reconstruction; Imaging; Mathematics; Modeling; Pixels; Statistical models; Supernova remnants; Ultrasonography; image  – noise  – segmentation  – variational

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APA (6th Edition):

Posirca, I. M. (2012). Variational Models for Simultaneous Image Segmentation and Noise Removal. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044953

Chicago Manual of Style (16th Edition):

Posirca, Iulia M. “Variational Models for Simultaneous Image Segmentation and Noise Removal.” 2012. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0044953.

MLA Handbook (7th Edition):

Posirca, Iulia M. “Variational Models for Simultaneous Image Segmentation and Noise Removal.” 2012. Web. 17 Aug 2019.

Vancouver:

Posirca IM. Variational Models for Simultaneous Image Segmentation and Noise Removal. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0044953.

Council of Science Editors:

Posirca IM. Variational Models for Simultaneous Image Segmentation and Noise Removal. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044953


University of Florida

8. Lee, Jin-Seop. Image registration by using statistical information.

Degree: PhD, Mathematics, 2013, University of Florida

 Image registration has been an important subject in many areas including remote sensing, computer vision, and medical imaging. It has been intensively studied and many… (more)

Subjects/Keywords: Computerized axial tomography; Coordinate transformations; Correlation coefficients; Diagnostic imaging; Image processing; Images; Images of transformations; Lungs; Parametric models; Statistical models; aos  – image  – information  – measure

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APA (6th Edition):

Lee, J. (2013). Image registration by using statistical information. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045405

Chicago Manual of Style (16th Edition):

Lee, Jin-Seop. “Image registration by using statistical information.” 2013. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0045405.

MLA Handbook (7th Edition):

Lee, Jin-Seop. “Image registration by using statistical information.” 2013. Web. 17 Aug 2019.

Vancouver:

Lee J. Image registration by using statistical information. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0045405.

Council of Science Editors:

Lee J. Image registration by using statistical information. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045405


University of Florida

9. Xia, Junyi. Strategies for Adaptive Radiation Therapy Robust Deformable Image Registration Using High Performance Computing and Its Clinical Applications.

Degree: PhD, Nuclear Engineering Sciences - Nuclear and Radiological Engineering, 2009, University of Florida

 Image guided radiation therapy (IGRT) requires developing advanced methods for target localization. Once target motion is identified, the patient specific treatment margin can be incorporated… (more)

Subjects/Keywords: Algorithms; Apes; Coordinate transformations; Graphics; Image processing; Images; Images of transformations; Imaging; Pixels; Surface contours; dir, gpu, imaging, motion, recontouring, registration, therapy, validation

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APA (6th Edition):

Xia, J. (2009). Strategies for Adaptive Radiation Therapy Robust Deformable Image Registration Using High Performance Computing and Its Clinical Applications. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0024305

Chicago Manual of Style (16th Edition):

Xia, Junyi. “Strategies for Adaptive Radiation Therapy Robust Deformable Image Registration Using High Performance Computing and Its Clinical Applications.” 2009. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0024305.

MLA Handbook (7th Edition):

Xia, Junyi. “Strategies for Adaptive Radiation Therapy Robust Deformable Image Registration Using High Performance Computing and Its Clinical Applications.” 2009. Web. 17 Aug 2019.

Vancouver:

Xia J. Strategies for Adaptive Radiation Therapy Robust Deformable Image Registration Using High Performance Computing and Its Clinical Applications. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0024305.

Council of Science Editors:

Xia J. Strategies for Adaptive Radiation Therapy Robust Deformable Image Registration Using High Performance Computing and Its Clinical Applications. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0024305


University of Florida

10. Hasanbelliu, Erion. Information Theoretic Similarity Measures for Shape Matching.

Degree: PhD, Electrical and Computer Engineering, 2012, University of Florida

 This dissertation develops several information theoretic similarity measures to solve the shape matching problem. The similarity measures compare features extracted from the shape of the… (more)

Subjects/Keywords: Bandwidth; Cephalopelvic disproportion; Cost functions; Datasets; Entropy; Geometric shapes; Outliers; Point estimators; Random variables; Standard deviation; alignment  – correntropy  – divergence  – information  – registration  – shape  – similarity

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APA (6th Edition):

Hasanbelliu, E. (2012). Information Theoretic Similarity Measures for Shape Matching. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044085

Chicago Manual of Style (16th Edition):

Hasanbelliu, Erion. “Information Theoretic Similarity Measures for Shape Matching.” 2012. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0044085.

MLA Handbook (7th Edition):

Hasanbelliu, Erion. “Information Theoretic Similarity Measures for Shape Matching.” 2012. Web. 17 Aug 2019.

Vancouver:

Hasanbelliu E. Information Theoretic Similarity Measures for Shape Matching. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0044085.

Council of Science Editors:

Hasanbelliu E. Information Theoretic Similarity Measures for Shape Matching. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044085


University of Florida

11. Bhattacharya,Souvik. Oscillations in a Size-Structured Prey Predator Model.

Degree: PhD, Mathematics, 2011, University of Florida

 This dissertation introduces a predator-prey model with the prey structured by body size based on reports in the literature that predation rates are prey-size specific.… (more)

Subjects/Keywords: Birth rates; Body size; Ecology; Equation roots; Method of characteristics; Modeling; Mortality; Population size; Predation; Predators

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APA (6th Edition):

Bhattacharya,Souvik. (2011). Oscillations in a Size-Structured Prey Predator Model. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043216

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Bhattacharya,Souvik. “Oscillations in a Size-Structured Prey Predator Model.” 2011. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0043216.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Bhattacharya,Souvik. “Oscillations in a Size-Structured Prey Predator Model.” 2011. Web. 17 Aug 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Bhattacharya,Souvik. Oscillations in a Size-Structured Prey Predator Model. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0043216.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Bhattacharya,Souvik. Oscillations in a Size-Structured Prey Predator Model. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043216

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Florida

12. Seth,Sohan. On Nonparametric Measures of Dependence and Conditional Independence Theory and Applications.

Degree: PhD, Electrical and Computer Engineering, 2011, University of Florida

 ?Does greenhouse gas emission cause global warming??, ?Does gas price depend on supply and demand??, ?Does stress cause depression??, ?Does productivity depend on competition??  –… (more)

Subjects/Keywords: Causality; Consistent estimators; Correlation coefficients; Cumulative distribution functions; Distance functions; Estimators; Machine learning; Random variables; Statistics; Time series; association  – causal  – conditional  – dependence  – granger  – hypothesis  – ica  – independence  – inference  – measure  – metric  – nonparametric  – point  – process  – selection  – space  – spike  – testing  – train  – variable

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APA (6th Edition):

Seth,Sohan. (2011). On Nonparametric Measures of Dependence and Conditional Independence Theory and Applications. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043252

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Seth,Sohan. “On Nonparametric Measures of Dependence and Conditional Independence Theory and Applications.” 2011. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0043252.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Seth,Sohan. “On Nonparametric Measures of Dependence and Conditional Independence Theory and Applications.” 2011. Web. 17 Aug 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Seth,Sohan. On Nonparametric Measures of Dependence and Conditional Independence Theory and Applications. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0043252.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Seth,Sohan. On Nonparametric Measures of Dependence and Conditional Independence Theory and Applications. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043252

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Florida

13. Shao, Anqi. A Fast and Exact Simulation for CIR Process.

Degree: PhD, Mathematics, 2012, University of Florida

 We present a fast and exact simulation method for the CIR process. Traditional simulation method relies on an algorithm to generate a non-central chi square… (more)

Subjects/Keywords: Assets; Interest rates; Modeling; Prices; Pricing; Random variables; Simulations; Standard deviation; Stochastic models; Stock prices; cir  – heston  – simulation

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APA (6th Edition):

Shao, A. (2012). A Fast and Exact Simulation for CIR Process. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043921

Chicago Manual of Style (16th Edition):

Shao, Anqi. “A Fast and Exact Simulation for CIR Process.” 2012. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0043921.

MLA Handbook (7th Edition):

Shao, Anqi. “A Fast and Exact Simulation for CIR Process.” 2012. Web. 17 Aug 2019.

Vancouver:

Shao A. A Fast and Exact Simulation for CIR Process. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0043921.

Council of Science Editors:

Shao A. A Fast and Exact Simulation for CIR Process. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0043921


University of Florida

14. Sun, Pengyi. Liquidity Risk Measurement and Management.

Degree: PhD, Mathematics, 2012, University of Florida

 In this paper, we introduced the liquidity risk measures. The coherent risk measure introduced by Artzner[1] does not include the liquidity effects. That is the… (more)

Subjects/Keywords: Assets; Credit risk; Diversification; Finance; Financial risk; Investment risks; Liquidity; Liquidity risks; Optimal solutions; Prices; allocation  – liquidity  – measure  – optimization  – risk  – strategy  – trading

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APA (6th Edition):

Sun, P. (2012). Liquidity Risk Measurement and Management. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044137

Chicago Manual of Style (16th Edition):

Sun, Pengyi. “Liquidity Risk Measurement and Management.” 2012. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0044137.

MLA Handbook (7th Edition):

Sun, Pengyi. “Liquidity Risk Measurement and Management.” 2012. Web. 17 Aug 2019.

Vancouver:

Sun P. Liquidity Risk Measurement and Management. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0044137.

Council of Science Editors:

Sun P. Liquidity Risk Measurement and Management. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044137


University of Florida

15. Sanchez Giraldo, Luis Gonzalo. Reproducing Kernel Hilbert Space Methods for Information Theoretic Learning.

Degree: PhD, Electrical and Computer Engineering, 2012, University of Florida

 Information theory provide principled models for different machine learning problems, such as clustering, dimensionality reduction, classification, and many others. However, using the definitions of information… (more)

Subjects/Keywords: Approximation; Eigenvalues; Entropy; Hilbert spaces; Information relevance; Learning modalities; Learning theory; Machine learning; Matrices; Random variables; information  – kernel  – learning

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APA (6th Edition):

Sanchez Giraldo, L. G. (2012). Reproducing Kernel Hilbert Space Methods for Information Theoretic Learning. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044655

Chicago Manual of Style (16th Edition):

Sanchez Giraldo, Luis Gonzalo. “Reproducing Kernel Hilbert Space Methods for Information Theoretic Learning.” 2012. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0044655.

MLA Handbook (7th Edition):

Sanchez Giraldo, Luis Gonzalo. “Reproducing Kernel Hilbert Space Methods for Information Theoretic Learning.” 2012. Web. 17 Aug 2019.

Vancouver:

Sanchez Giraldo LG. Reproducing Kernel Hilbert Space Methods for Information Theoretic Learning. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0044655.

Council of Science Editors:

Sanchez Giraldo LG. Reproducing Kernel Hilbert Space Methods for Information Theoretic Learning. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044655


University of Florida

16. Shi, Jiangli. Statistical Dependence Measure Based Multi-Model Image Registration and Registration Assisted Non-Parametric Image Segmentation.

Degree: PhD, Mathematics, 2013, University of Florida

 A series of mathematical models for image registrations are investigated in this work to provide a variety of techniques especially for medical image alignment. Analysis… (more)

Subjects/Keywords: Coordinate transformations; Cross correlation; Entropy; Image processing; Images of transformations; Linear transformations; Parametric models; Random variables; Sine function; Statistical models; dependence  – image  – measure  – registration  – segmentation  – statistical

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APA (6th Edition):

Shi, J. (2013). Statistical Dependence Measure Based Multi-Model Image Registration and Registration Assisted Non-Parametric Image Segmentation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045845

Chicago Manual of Style (16th Edition):

Shi, Jiangli. “Statistical Dependence Measure Based Multi-Model Image Registration and Registration Assisted Non-Parametric Image Segmentation.” 2013. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0045845.

MLA Handbook (7th Edition):

Shi, Jiangli. “Statistical Dependence Measure Based Multi-Model Image Registration and Registration Assisted Non-Parametric Image Segmentation.” 2013. Web. 17 Aug 2019.

Vancouver:

Shi J. Statistical Dependence Measure Based Multi-Model Image Registration and Registration Assisted Non-Parametric Image Segmentation. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0045845.

Council of Science Editors:

Shi J. Statistical Dependence Measure Based Multi-Model Image Registration and Registration Assisted Non-Parametric Image Segmentation. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045845


University of Florida

17. Ouyang, Yuyuan. Optimal First Order Methods for a Class of Non-Smooth Convex Optimization with Applications to Image Analysis.

Degree: PhD, Mathematics, 2013, University of Florida

 This PhD Dissertation concerns optimal first order methods in convex optimization, and their applications in imaging science. The research is motivated by the rapid advances… (more)

Subjects/Keywords: Algorithms; Approximation; Data smoothing; Image reconstruction; Imaging; Payment protection insurance; Perceptron convergence procedure; Saddle points; Signals; Spherical harmonics; imaging  – nonsmooth  – optimization  – smooth  – stochastic

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APA (6th Edition):

Ouyang, Y. (2013). Optimal First Order Methods for a Class of Non-Smooth Convex Optimization with Applications to Image Analysis. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045919

Chicago Manual of Style (16th Edition):

Ouyang, Yuyuan. “Optimal First Order Methods for a Class of Non-Smooth Convex Optimization with Applications to Image Analysis.” 2013. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0045919.

MLA Handbook (7th Edition):

Ouyang, Yuyuan. “Optimal First Order Methods for a Class of Non-Smooth Convex Optimization with Applications to Image Analysis.” 2013. Web. 17 Aug 2019.

Vancouver:

Ouyang Y. Optimal First Order Methods for a Class of Non-Smooth Convex Optimization with Applications to Image Analysis. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0045919.

Council of Science Editors:

Ouyang Y. Optimal First Order Methods for a Class of Non-Smooth Convex Optimization with Applications to Image Analysis. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045919


University of Florida

18. Zhang, Haili. Mathematical Modeling for Image Segmentation and Restoration.

Degree: PhD, Mathematics, 2013, University of Florida

 This thesis is devoted to the formulation, implementation, and improvement of mathematical models and efficient algorithms for image segmentation and image restoration using tools based… (more)

Subjects/Keywords: Algorithms; Eigenfunctions; Gray matter; Histograms; Image processing; Images of transformations; Inhomogeneity; Noise intensity; Parametric models; Pixels; algorithm  – deblurring  – denoising  – nonparametric  – restoration  – segmentation

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APA (6th Edition):

Zhang, H. (2013). Mathematical Modeling for Image Segmentation and Restoration. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045847

Chicago Manual of Style (16th Edition):

Zhang, Haili. “Mathematical Modeling for Image Segmentation and Restoration.” 2013. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0045847.

MLA Handbook (7th Edition):

Zhang, Haili. “Mathematical Modeling for Image Segmentation and Restoration.” 2013. Web. 17 Aug 2019.

Vancouver:

Zhang H. Mathematical Modeling for Image Segmentation and Restoration. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0045847.

Council of Science Editors:

Zhang H. Mathematical Modeling for Image Segmentation and Restoration. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045847


University of Florida

19. Smith, Aaron. Using Ulam's Method to Test for Mixing.

Degree: PhD, Mathematics, 2010, University of Florida

 Ulam s method is a popular technique to discretize and approximate a continuous dynamical system. We propose a statistical test using Ulam s method to… (more)

Subjects/Keywords: Approximation; Dynamical systems; Eigenvalues; Eigenvectors; Ergodic theory; Matrices; Permutations; Probability distributions; Random variables; Statistics; aaron, correlation, decay, eigenfunction, eigenvalue, fluid, incompressible, markov, measure, method, mixing, preserving, protocol, shift, smith, statistics, stirring, strong, subshift, ulam, weak

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APA (6th Edition):

Smith, A. (2010). Using Ulam's Method to Test for Mixing. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041915

Chicago Manual of Style (16th Edition):

Smith, Aaron. “Using Ulam's Method to Test for Mixing.” 2010. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0041915.

MLA Handbook (7th Edition):

Smith, Aaron. “Using Ulam's Method to Test for Mixing.” 2010. Web. 17 Aug 2019.

Vancouver:

Smith A. Using Ulam's Method to Test for Mixing. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0041915.

Council of Science Editors:

Smith A. Using Ulam's Method to Test for Mixing. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0041915


University of Florida

20. Choi, Jinmyung. Random Matrix Ensembles with Soft-Confinement Potential.

Degree: PhD, Physics, 2010, University of Florida

 In this work, we study invariant-class of random matrix ensembles characterized by the asymptotic logarithmic soft-confinement potential, named lambda-ensembles. The suggestion is inspired by the… (more)

Subjects/Keywords: Correlations; Eigenvalues; Matrices; Natural logarithms; Polynomials; Sine function; Spectral energy distribution; Statistical discrepancies; Statistics; Universality

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APA (6th Edition):

Choi, J. (2010). Random Matrix Ensembles with Soft-Confinement Potential. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041528

Chicago Manual of Style (16th Edition):

Choi, Jinmyung. “Random Matrix Ensembles with Soft-Confinement Potential.” 2010. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0041528.

MLA Handbook (7th Edition):

Choi, Jinmyung. “Random Matrix Ensembles with Soft-Confinement Potential.” 2010. Web. 17 Aug 2019.

Vancouver:

Choi J. Random Matrix Ensembles with Soft-Confinement Potential. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0041528.

Council of Science Editors:

Choi J. Random Matrix Ensembles with Soft-Confinement Potential. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0041528


University of Florida

21. Douglas, Andrew. Electron Transport near the Anderson Transition.

Degree: PhD, Physics, 2009, University of Florida

 In this work we examined the probability distribution of conductances in three dimensional metals for signatures of the Anderson transition. To that end, we examined… (more)

Subjects/Keywords: Approximation; Boundary conditions; Differential equations; Eigenvalues; Electrons; Greens function; Impurities; Particle interactions; Probability distributions; Symmetry; anderson, function, gdmpk, green, transition

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APA (6th Edition):

Douglas, A. (2009). Electron Transport near the Anderson Transition. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0024407

Chicago Manual of Style (16th Edition):

Douglas, Andrew. “Electron Transport near the Anderson Transition.” 2009. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0024407.

MLA Handbook (7th Edition):

Douglas, Andrew. “Electron Transport near the Anderson Transition.” 2009. Web. 17 Aug 2019.

Vancouver:

Douglas A. Electron Transport near the Anderson Transition. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0024407.

Council of Science Editors:

Douglas A. Electron Transport near the Anderson Transition. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0024407

22. Zhu, Pingping. Kalman Filtering in Reproducing Kernel Hilbert Spaces.

Degree: PhD, Electrical and Computer Engineering, 2013, University of Florida

 There are numerous dynamical system applications that require to do estimation or prediction tasks from noisy data, including vehicle tracking, channel tracking, economic forecasting, and… (more)

Subjects/Keywords: Covariance; Kalman filters; Least squares; Mathematical vectors; Matrices; Noise measurement; Signals; State estimation; Statistical estimation; Time series; kalmanfilter  – rkhs

…Presented to the Graduate School of the University of Florida in Partial Fulfillment of the… 

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APA (6th Edition):

Zhu, P. (2013). Kalman Filtering in Reproducing Kernel Hilbert Spaces. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045386

Chicago Manual of Style (16th Edition):

Zhu, Pingping. “Kalman Filtering in Reproducing Kernel Hilbert Spaces.” 2013. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0045386.

MLA Handbook (7th Edition):

Zhu, Pingping. “Kalman Filtering in Reproducing Kernel Hilbert Spaces.” 2013. Web. 17 Aug 2019.

Vancouver:

Zhu P. Kalman Filtering in Reproducing Kernel Hilbert Spaces. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0045386.

Council of Science Editors:

Zhu P. Kalman Filtering in Reproducing Kernel Hilbert Spaces. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045386


University of Florida

23. Krut, Christopher. On a Conjecture of William Herschel.

Degree: MS, Mathematics, 2008, University of Florida

 In 1801, William Herschel conjectured the existence of a relationship between the price of wheat and the appearance or absence of sunspots. Initially with the… (more)

Subjects/Keywords: Markov chains; Markov models; Political parties; Sunspot cycle; Sunspot number; Sunspots; Transition probabilities; Voter registration; Voting; Wheat

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APA (6th Edition):

Krut, C. (2008). On a Conjecture of William Herschel. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0022499

Chicago Manual of Style (16th Edition):

Krut, Christopher. “On a Conjecture of William Herschel.” 2008. Masters Thesis, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0022499.

MLA Handbook (7th Edition):

Krut, Christopher. “On a Conjecture of William Herschel.” 2008. Web. 17 Aug 2019.

Vancouver:

Krut C. On a Conjecture of William Herschel. [Internet] [Masters thesis]. University of Florida; 2008. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0022499.

Council of Science Editors:

Krut C. On a Conjecture of William Herschel. [Masters Thesis]. University of Florida; 2008. Available from: http://ufdc.ufl.edu/UFE0022499


University of Florida

24. SANKARPERSAD,RYAN GOVINDRA. Optimal Investment and Consumption Portfolio Choice Problem for Assets Modeled by Levy Processes.

Degree: PhD, Mathematics, 2011, University of Florida

We consider an extension of Merton's optimal portfolio choice and consumption Advisors/Committee Members: Yan, Liqing (committee chair), Jury, Michael (committee member), Glover, Joseph (committee member), Rao, Murali (committee member), Uryasev, Stanislav (committee member).

Subjects/Keywords: Assets; Brownian motion; Cost functions; Differential equations; Financial portfolios; Investors; Optimal control; Random variables; Stochastic processes; Wealth

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APA (6th Edition):

GOVINDRA, S. (2011). Optimal Investment and Consumption Portfolio Choice Problem for Assets Modeled by Levy Processes. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042720

Chicago Manual of Style (16th Edition):

GOVINDRA, SANKARPERSAD,RYAN. “Optimal Investment and Consumption Portfolio Choice Problem for Assets Modeled by Levy Processes.” 2011. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0042720.

MLA Handbook (7th Edition):

GOVINDRA, SANKARPERSAD,RYAN. “Optimal Investment and Consumption Portfolio Choice Problem for Assets Modeled by Levy Processes.” 2011. Web. 17 Aug 2019.

Vancouver:

GOVINDRA S. Optimal Investment and Consumption Portfolio Choice Problem for Assets Modeled by Levy Processes. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0042720.

Council of Science Editors:

GOVINDRA S. Optimal Investment and Consumption Portfolio Choice Problem for Assets Modeled by Levy Processes. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0042720


University of Florida

25. YE,XIAOJING. Mathematical Models and Fast Numerical Algorithms in Medical Image Analysis.

Degree: PhD, Mathematics, 2011, University of Florida

A series of projects are presented to provide advanced mathematical models and numerical Advisors/Committee Members: Chen, Yunmei (committee chair), Rao, Murali (committee member), McCullough, Scott (committee member), Gopalakrishnan, Jay (committee member), Li, Jonathan (committee member).

Subjects/Keywords: Datasets; Fourier transformations; Image reconstruction; Images of transformations; Imaging; Magnetic resonance imaging; Mathematical robustness; Objective functions; Parametric models; Payment protection insurance; CONSISTENT  – CONVERGENCE  – MRI  – OPTIMIZATION  – RECONSTRUCTION  – REGISRATION  – STATISTICS

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APA (6th Edition):

YE,XIAOJING. (2011). Mathematical Models and Fast Numerical Algorithms in Medical Image Analysis. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042919

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

YE,XIAOJING. “Mathematical Models and Fast Numerical Algorithms in Medical Image Analysis.” 2011. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0042919.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

YE,XIAOJING. “Mathematical Models and Fast Numerical Algorithms in Medical Image Analysis.” 2011. Web. 17 Aug 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

YE,XIAOJING. Mathematical Models and Fast Numerical Algorithms in Medical Image Analysis. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0042919.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

YE,XIAOJING. Mathematical Models and Fast Numerical Algorithms in Medical Image Analysis. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0042919

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Florida

26. Pokharel, Puskal P. Time Series Analysis with Information Theoretic Learning and Kernel Methods.

Degree: PhD, Electrical and Computer Engineering, 2007, University of Florida

 The major goal of our research is to develop simple and effective nonlinear versions of some basic time series tools for signal detection, optimal filtering,… (more)

Subjects/Keywords: Equalization; Matched filters; Mathematical vectors; Matrices; Random variables; Signal processing; Signals; Statistical discrepancies; Statistics; Time series

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APA (6th Edition):

Pokharel, P. P. (2007). Time Series Analysis with Information Theoretic Learning and Kernel Methods. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0021482

Chicago Manual of Style (16th Edition):

Pokharel, Puskal P. “Time Series Analysis with Information Theoretic Learning and Kernel Methods.” 2007. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0021482.

MLA Handbook (7th Edition):

Pokharel, Puskal P. “Time Series Analysis with Information Theoretic Learning and Kernel Methods.” 2007. Web. 17 Aug 2019.

Vancouver:

Pokharel PP. Time Series Analysis with Information Theoretic Learning and Kernel Methods. [Internet] [Doctoral dissertation]. University of Florida; 2007. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0021482.

Council of Science Editors:

Pokharel PP. Time Series Analysis with Information Theoretic Learning and Kernel Methods. [Doctoral Dissertation]. University of Florida; 2007. Available from: http://ufdc.ufl.edu/UFE0021482


University of Florida

27. Liu, Weifeng. Adaptive Filtering in Reproducing Kernel Hilbert Spaces.

Degree: PhD, Electrical and Computer Engineering, 2008, University of Florida

 The theory of linear adaptive filters has reached maturity, unlike the field of nonlinear adaptive filters. Although nonlinear adaptive filters are very useful in nonlinear… (more)

Subjects/Keywords: Active learning; Equalization; Learning; Learning curves; Least squares; Machine learning; Sequential learning; Signals; Simulations; Time series; active, adaptive, filter, kernel, learning, nonlinear, online, regularization

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

APA (6th Edition):

Liu, W. (2008). Adaptive Filtering in Reproducing Kernel Hilbert Spaces. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0022748

Chicago Manual of Style (16th Edition):

Liu, Weifeng. “Adaptive Filtering in Reproducing Kernel Hilbert Spaces.” 2008. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0022748.

MLA Handbook (7th Edition):

Liu, Weifeng. “Adaptive Filtering in Reproducing Kernel Hilbert Spaces.” 2008. Web. 17 Aug 2019.

Vancouver:

Liu W. Adaptive Filtering in Reproducing Kernel Hilbert Spaces. [Internet] [Doctoral dissertation]. University of Florida; 2008. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0022748.

Council of Science Editors:

Liu W. Adaptive Filtering in Reproducing Kernel Hilbert Spaces. [Doctoral Dissertation]. University of Florida; 2008. Available from: http://ufdc.ufl.edu/UFE0022748


University of Florida

28. Xu, Jianwu. Nonlinear Signal Processing Based on Reproducing Kernel Hilbert Space.

Degree: PhD, Electrical and Computer Engineering, 2007, University of Florida

 My research aimed at analyzing the recently proposed correntropy function and presents a new centered correntropy function from time-domain and frequency-domain approaches. It demonstrats that… (more)

Subjects/Keywords: Autocorrelation; Correlation coefficients; Hilbert spaces; Inner products; Kernel functions; Principal components analysis; Random variables; Signals; Stochastic processes; Vowels; correntropy, dependence, information, kernel, pca, pitch, rkhs, synchronization

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APA (6th Edition):

Xu, J. (2007). Nonlinear Signal Processing Based on Reproducing Kernel Hilbert Space. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0021159

Chicago Manual of Style (16th Edition):

Xu, Jianwu. “Nonlinear Signal Processing Based on Reproducing Kernel Hilbert Space.” 2007. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0021159.

MLA Handbook (7th Edition):

Xu, Jianwu. “Nonlinear Signal Processing Based on Reproducing Kernel Hilbert Space.” 2007. Web. 17 Aug 2019.

Vancouver:

Xu J. Nonlinear Signal Processing Based on Reproducing Kernel Hilbert Space. [Internet] [Doctoral dissertation]. University of Florida; 2007. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0021159.

Council of Science Editors:

Xu J. Nonlinear Signal Processing Based on Reproducing Kernel Hilbert Space. [Doctoral Dissertation]. University of Florida; 2007. Available from: http://ufdc.ufl.edu/UFE0021159


University of Florida

29. Saha, Sourish Chandra. Response Surface Designs for Linear Mixed Models.

Degree: PhD, Statistics, 2007, University of Florida

 Response surface methodology (RSM) is a set of tools that includes setting up a series of experiments that produce reliable measurements of the response of… (more)

Subjects/Keywords: Confidence interval; Mathematical independent variables; Mathematical vectors; Matrices; Power functions; Quantiles; Sine function; Statistical discrepancies; Statistical models; Statistics

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APA (6th Edition):

Saha, S. C. (2007). Response Surface Designs for Linear Mixed Models. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0021748

Chicago Manual of Style (16th Edition):

Saha, Sourish Chandra. “Response Surface Designs for Linear Mixed Models.” 2007. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0021748.

MLA Handbook (7th Edition):

Saha, Sourish Chandra. “Response Surface Designs for Linear Mixed Models.” 2007. Web. 17 Aug 2019.

Vancouver:

Saha SC. Response Surface Designs for Linear Mixed Models. [Internet] [Doctoral dissertation]. University of Florida; 2007. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0021748.

Council of Science Editors:

Saha SC. Response Surface Designs for Linear Mixed Models. [Doctoral Dissertation]. University of Florida; 2007. Available from: http://ufdc.ufl.edu/UFE0021748


University of Florida

30. Rao, Sudhir. Unsupervised Learning An Information Theoretic Framework.

Degree: PhD, Electrical and Computer Engineering, 2008, University of Florida

 The goal of this research is to develop a simple and unified framework for unsupervised learning. As a branch of machine learning, this constitutes the… (more)

Subjects/Keywords: Cost functions; Datasets; Entropy; Gradient method; Image compression; Learning; Machine learning; Neurons; Signals; Vector quantization; clustering, entropy, framework, information, learning, structures, theory

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APA (6th Edition):

Rao, S. (2008). Unsupervised Learning An Information Theoretic Framework. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0022531

Chicago Manual of Style (16th Edition):

Rao, Sudhir. “Unsupervised Learning An Information Theoretic Framework.” 2008. Doctoral Dissertation, University of Florida. Accessed August 17, 2019. http://ufdc.ufl.edu/UFE0022531.

MLA Handbook (7th Edition):

Rao, Sudhir. “Unsupervised Learning An Information Theoretic Framework.” 2008. Web. 17 Aug 2019.

Vancouver:

Rao S. Unsupervised Learning An Information Theoretic Framework. [Internet] [Doctoral dissertation]. University of Florida; 2008. [cited 2019 Aug 17]. Available from: http://ufdc.ufl.edu/UFE0022531.

Council of Science Editors:

Rao S. Unsupervised Learning An Information Theoretic Framework. [Doctoral Dissertation]. University of Florida; 2008. Available from: http://ufdc.ufl.edu/UFE0022531

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