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You searched for subject:(Reproducing kernel Hilbert spaces). Showing records 1 – 30 of 5319 total matches.

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Georgia Tech

1. Kingravi, Hassan. Reduced-set models for improving the training and execution speed of kernel methods.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 This thesis aims to contribute to the area of kernel methods, which are a class of machine learning methods known for their wide applicability and… (more)

Subjects/Keywords: Machine learning; Kernel methods; Reproducing kernel Hilbert spaces; Adaptive control; Manifold learning; Algorithms; Computer algorithms; Kernel functions; Support vector machines

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APA (6th Edition):

Kingravi, H. (2014). Reduced-set models for improving the training and execution speed of kernel methods. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51799

Chicago Manual of Style (16th Edition):

Kingravi, Hassan. “Reduced-set models for improving the training and execution speed of kernel methods.” 2014. Doctoral Dissertation, Georgia Tech. Accessed November 29, 2020. http://hdl.handle.net/1853/51799.

MLA Handbook (7th Edition):

Kingravi, Hassan. “Reduced-set models for improving the training and execution speed of kernel methods.” 2014. Web. 29 Nov 2020.

Vancouver:

Kingravi H. Reduced-set models for improving the training and execution speed of kernel methods. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/1853/51799.

Council of Science Editors:

Kingravi H. Reduced-set models for improving the training and execution speed of kernel methods. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51799


Penn State University

2. Taoufik, Bahaeddine. FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA.

Degree: 2016, Penn State University

 This thesis is concerned with developing new functional data techniques for high frequency financial applications. Chapter 1 of the thesis introduces Functional Data Analysis (FDA)… (more)

Subjects/Keywords: Functional Data; Nonlinear Functional Regression; Cross-section of returns; Cumulative intraday returns; Reproducing kernel Hilbert spaces

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APA (6th Edition):

Taoufik, B. (2016). FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13392but129

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):

Taoufik, Bahaeddine. “FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA.” 2016. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/13392but129.

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

MLA Handbook (7th Edition):

Taoufik, Bahaeddine. “FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA.” 2016. Web. 29 Nov 2020.

Vancouver:

Taoufik B. FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/13392but129.

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

Council of Science Editors:

Taoufik B. FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/13392but129

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


Iowa State University

3. Dixit, Anand Ulhas. Developments in MCMC diagnostics and sparse Bayesian learning models.

Degree: 2018, Iowa State University

 This dissertation consists of three research articles on the topic of Markov chain Monte Carlo (MCMC) diagnostics and sparse Bayesian learning models. The first article… (more)

Subjects/Keywords: Geometric ergodicity; Kullback Leibler divergence; Monte Carlo standard error; Posterior impropriety; Relevance vector machine; Reproducing kernel Hilbert spaces; Statistics and Probability

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APA (6th Edition):

Dixit, A. U. (2018). Developments in MCMC diagnostics and sparse Bayesian learning models. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/17175

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):

Dixit, Anand Ulhas. “Developments in MCMC diagnostics and sparse Bayesian learning models.” 2018. Thesis, Iowa State University. Accessed November 29, 2020. https://lib.dr.iastate.edu/etd/17175.

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

MLA Handbook (7th Edition):

Dixit, Anand Ulhas. “Developments in MCMC diagnostics and sparse Bayesian learning models.” 2018. Web. 29 Nov 2020.

Vancouver:

Dixit AU. Developments in MCMC diagnostics and sparse Bayesian learning models. [Internet] [Thesis]. Iowa State University; 2018. [cited 2020 Nov 29]. Available from: https://lib.dr.iastate.edu/etd/17175.

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

Council of Science Editors:

Dixit AU. Developments in MCMC diagnostics and sparse Bayesian learning models. [Thesis]. Iowa State University; 2018. Available from: https://lib.dr.iastate.edu/etd/17175

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


ETH Zürich

4. Butt, Jemil. An RKHS approach to modelling and inference for spatiotemporal geodetic data with applications to terrestrial radar interferometry.

Degree: 2019, ETH Zürich

Reproducing kernel Hilbert spaces (RKHS) are interpretable as normed spaces of functions furnished with a probability distribution and as such are especially suitable for modelling… (more)

Subjects/Keywords: Reproducing kernel Hilbert spaces, Geostatistics, Radar interferometry, Adjustment; info:eu-repo/classification/ddc/550; info:eu-repo/classification/ddc/510; Earth sciences; Mathematics

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APA (6th Edition):

Butt, J. (2019). An RKHS approach to modelling and inference for spatiotemporal geodetic data with applications to terrestrial radar interferometry. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/346619

Chicago Manual of Style (16th Edition):

Butt, Jemil. “An RKHS approach to modelling and inference for spatiotemporal geodetic data with applications to terrestrial radar interferometry.” 2019. Doctoral Dissertation, ETH Zürich. Accessed November 29, 2020. http://hdl.handle.net/20.500.11850/346619.

MLA Handbook (7th Edition):

Butt, Jemil. “An RKHS approach to modelling and inference for spatiotemporal geodetic data with applications to terrestrial radar interferometry.” 2019. Web. 29 Nov 2020.

Vancouver:

Butt J. An RKHS approach to modelling and inference for spatiotemporal geodetic data with applications to terrestrial radar interferometry. [Internet] [Doctoral dissertation]. ETH Zürich; 2019. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/20.500.11850/346619.

Council of Science Editors:

Butt J. An RKHS approach to modelling and inference for spatiotemporal geodetic data with applications to terrestrial radar interferometry. [Doctoral Dissertation]. ETH Zürich; 2019. Available from: http://hdl.handle.net/20.500.11850/346619

5. Ferreira, José Claudinei. Operadores integrais positivos e espaços de Hilbert de reprodução.

Degree: PhD, Matemática, 2010, University of São Paulo

Este trabalho é dedicado ao estudo de propriedades teóricas dos operadores integrais positivos em \'L POT. 2(́X; u), quando X é um espaço topológico localmente… (more)

Subjects/Keywords: Decaimento de autovalores; Decay rates of eigenvalues; Espaços de Hilbert de reprodução; Mercer theorem; Núcleos positivos definidos; Positive definite kernels; Reproducing kernel Hilbert spaces; Teorema de Mercer

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APA (6th Edition):

Ferreira, J. C. (2010). Operadores integrais positivos e espaços de Hilbert de reprodução. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55135/tde-17082010-100716/ ;

Chicago Manual of Style (16th Edition):

Ferreira, José Claudinei. “Operadores integrais positivos e espaços de Hilbert de reprodução.” 2010. Doctoral Dissertation, University of São Paulo. Accessed November 29, 2020. http://www.teses.usp.br/teses/disponiveis/55/55135/tde-17082010-100716/ ;.

MLA Handbook (7th Edition):

Ferreira, José Claudinei. “Operadores integrais positivos e espaços de Hilbert de reprodução.” 2010. Web. 29 Nov 2020.

Vancouver:

Ferreira JC. Operadores integrais positivos e espaços de Hilbert de reprodução. [Internet] [Doctoral dissertation]. University of São Paulo; 2010. [cited 2020 Nov 29]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55135/tde-17082010-100716/ ;.

Council of Science Editors:

Ferreira JC. Operadores integrais positivos e espaços de Hilbert de reprodução. [Doctoral Dissertation]. University of São Paulo; 2010. Available from: http://www.teses.usp.br/teses/disponiveis/55/55135/tde-17082010-100716/ ;

6. Barbosa, Victor Simões. Universalidade e ortogonalidade em espaços de Hilbert de reprodução.

Degree: Mestrado, Matemática, 2013, University of São Paulo

Neste trabalho analisamos o papel das funções layout de um núcleo positivo definido K sobre um espaço topológico de Hausdor E com relação a duas… (more)

Subjects/Keywords: Espaços de Hilbert de reprodução; Feature maps; Função layout; Núcleos positivos definidos; Orthogonality; Ortogonalidade; Positive definite Kernels; Reproducing Kernel Hilbert spaces; Universabilidade; Universality

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APA (6th Edition):

Barbosa, V. S. (2013). Universalidade e ortogonalidade em espaços de Hilbert de reprodução. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55135/tde-18032013-142251/ ;

Chicago Manual of Style (16th Edition):

Barbosa, Victor Simões. “Universalidade e ortogonalidade em espaços de Hilbert de reprodução.” 2013. Masters Thesis, University of São Paulo. Accessed November 29, 2020. http://www.teses.usp.br/teses/disponiveis/55/55135/tde-18032013-142251/ ;.

MLA Handbook (7th Edition):

Barbosa, Victor Simões. “Universalidade e ortogonalidade em espaços de Hilbert de reprodução.” 2013. Web. 29 Nov 2020.

Vancouver:

Barbosa VS. Universalidade e ortogonalidade em espaços de Hilbert de reprodução. [Internet] [Masters thesis]. University of São Paulo; 2013. [cited 2020 Nov 29]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55135/tde-18032013-142251/ ;.

Council of Science Editors:

Barbosa VS. Universalidade e ortogonalidade em espaços de Hilbert de reprodução. [Masters Thesis]. University of São Paulo; 2013. Available from: http://www.teses.usp.br/teses/disponiveis/55/55135/tde-18032013-142251/ ;

7. Dieuleveut, Aymeric. Stochastic approximation in Hilbert spaces : Approximation stochastique dans les espaces de Hilbert.

Degree: Docteur es, Mathématiques, 2017, Paris Sciences et Lettres (ComUE)

 Le but de l’apprentissage supervisé est d’inférer des relations entre un phénomène que l’on souhaite prédire et des variables « explicatives ». À cette fin,… (more)

Subjects/Keywords: Approximation stochastique; Optimisation convexe; Apprentissage supervisé; Estimation non-paramétrique; Espaces de Hilbert à noyaux reproduisants; Stochastic approximation; Convex optimization; Supervised learning; Nonparametric estimation; Reproducing kernel Hilbert spaces; 510

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APA (6th Edition):

Dieuleveut, A. (2017). Stochastic approximation in Hilbert spaces : Approximation stochastique dans les espaces de Hilbert. (Doctoral Dissertation). Paris Sciences et Lettres (ComUE). Retrieved from http://www.theses.fr/2017PSLEE059

Chicago Manual of Style (16th Edition):

Dieuleveut, Aymeric. “Stochastic approximation in Hilbert spaces : Approximation stochastique dans les espaces de Hilbert.” 2017. Doctoral Dissertation, Paris Sciences et Lettres (ComUE). Accessed November 29, 2020. http://www.theses.fr/2017PSLEE059.

MLA Handbook (7th Edition):

Dieuleveut, Aymeric. “Stochastic approximation in Hilbert spaces : Approximation stochastique dans les espaces de Hilbert.” 2017. Web. 29 Nov 2020.

Vancouver:

Dieuleveut A. Stochastic approximation in Hilbert spaces : Approximation stochastique dans les espaces de Hilbert. [Internet] [Doctoral dissertation]. Paris Sciences et Lettres (ComUE); 2017. [cited 2020 Nov 29]. Available from: http://www.theses.fr/2017PSLEE059.

Council of Science Editors:

Dieuleveut A. Stochastic approximation in Hilbert spaces : Approximation stochastique dans les espaces de Hilbert. [Doctoral Dissertation]. Paris Sciences et Lettres (ComUE); 2017. Available from: http://www.theses.fr/2017PSLEE059

8. Bilokopytov, Ievgen. Normed Spaces of Continuous and Holomorphic Functions and Weighted Composition Operators.

Degree: Mathematics, 2018, University of Manitoba

 In the present work we develop a unified way of looking at Normed Spaces of Continuous and Holomorphic Functions (NSCF’s and NSHF’s) and of Weighted… (more)

Subjects/Keywords: Function Spaces; Weighted Composition Operators; Reproducing Kernel Hilbert Spaces

…sources of inspiration are the following two theories. Reproducing Kernel Hilbert Spaces (… …RKHS’s) theory is a formalism for studying Hilbert spaces whose elements are functions… …previously known for Hilbert spaces). Also, we show (see Corollary 1.2.11) that F is… …terms of the reproducing kernel (Theorem 2.4.6), and then show that the automorphism… …x28;part (iv) is a generalization from Hilbert spaces to Uni- 6 formly smooth… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Bilokopytov, I. (2018). Normed Spaces of Continuous and Holomorphic Functions and Weighted Composition Operators. (Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/33648

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):

Bilokopytov, Ievgen. “Normed Spaces of Continuous and Holomorphic Functions and Weighted Composition Operators.” 2018. Thesis, University of Manitoba. Accessed November 29, 2020. http://hdl.handle.net/1993/33648.

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

MLA Handbook (7th Edition):

Bilokopytov, Ievgen. “Normed Spaces of Continuous and Holomorphic Functions and Weighted Composition Operators.” 2018. Web. 29 Nov 2020.

Vancouver:

Bilokopytov I. Normed Spaces of Continuous and Holomorphic Functions and Weighted Composition Operators. [Internet] [Thesis]. University of Manitoba; 2018. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/1993/33648.

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

Council of Science Editors:

Bilokopytov I. Normed Spaces of Continuous and Holomorphic Functions and Weighted Composition Operators. [Thesis]. University of Manitoba; 2018. Available from: http://hdl.handle.net/1993/33648

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


Université de Lorraine

9. Bhujwalla, Yusuf. Nonlinear System Identification with Kernels : Applications of Derivatives in Reproducing Kernel Hilbert Spaces : Contribution à l'identification des systèmes non-linéaires par des méthodes à noyaux.

Degree: Docteur es, Automatique, Traitement du signal et des images, Génie informatique, 2017, Université de Lorraine

Cette thèse se concentrera exclusivement sur l’application de méthodes non paramétriques basées sur le noyau à des problèmes d’identification non-linéaires. Comme pour les autres méthodes… (more)

Subjects/Keywords: Identification des systèmes; Méthodes à noyaux; Régularisation; Espaces Hilbert à noyau reproduisant; Dérivés des fonctions dans les espaces Hilbert; Nonlinear system identification; Kernel methods; Regularisation; Reproducing kernel Hilbert spaces; Derivatives in the RKHS; 003.1; 629.836

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APA (6th Edition):

Bhujwalla, Y. (2017). Nonlinear System Identification with Kernels : Applications of Derivatives in Reproducing Kernel Hilbert Spaces : Contribution à l'identification des systèmes non-linéaires par des méthodes à noyaux. (Doctoral Dissertation). Université de Lorraine. Retrieved from http://www.theses.fr/2017LORR0315

Chicago Manual of Style (16th Edition):

Bhujwalla, Yusuf. “Nonlinear System Identification with Kernels : Applications of Derivatives in Reproducing Kernel Hilbert Spaces : Contribution à l'identification des systèmes non-linéaires par des méthodes à noyaux.” 2017. Doctoral Dissertation, Université de Lorraine. Accessed November 29, 2020. http://www.theses.fr/2017LORR0315.

MLA Handbook (7th Edition):

Bhujwalla, Yusuf. “Nonlinear System Identification with Kernels : Applications of Derivatives in Reproducing Kernel Hilbert Spaces : Contribution à l'identification des systèmes non-linéaires par des méthodes à noyaux.” 2017. Web. 29 Nov 2020.

Vancouver:

Bhujwalla Y. Nonlinear System Identification with Kernels : Applications of Derivatives in Reproducing Kernel Hilbert Spaces : Contribution à l'identification des systèmes non-linéaires par des méthodes à noyaux. [Internet] [Doctoral dissertation]. Université de Lorraine; 2017. [cited 2020 Nov 29]. Available from: http://www.theses.fr/2017LORR0315.

Council of Science Editors:

Bhujwalla Y. Nonlinear System Identification with Kernels : Applications of Derivatives in Reproducing Kernel Hilbert Spaces : Contribution à l'identification des systèmes non-linéaires par des méthodes à noyaux. [Doctoral Dissertation]. Université de Lorraine; 2017. Available from: http://www.theses.fr/2017LORR0315

10. Plumlee, Matthew. Fast methods for identifying high dimensional systems using observations.

Degree: PhD, Industrial and Systems Engineering, 2015, Georgia Tech

 This thesis proposes new analysis tools for simulation models in the presence of data. To achieve a representation close to reality, simulation models are typically… (more)

Subjects/Keywords: Model calibration; Computer experiments; Reproducing kernel Hilbert spaces; Gaussian process

…86 5.3.3 Choice of Kernel Function and Smoothing Parameters . . . . 89 5.4 Hypothesis… …84 xi 19 20 21 Examples of intensity functions generated by the Matérn kernel with… 

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APA (6th Edition):

Plumlee, M. (2015). Fast methods for identifying high dimensional systems using observations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53544

Chicago Manual of Style (16th Edition):

Plumlee, Matthew. “Fast methods for identifying high dimensional systems using observations.” 2015. Doctoral Dissertation, Georgia Tech. Accessed November 29, 2020. http://hdl.handle.net/1853/53544.

MLA Handbook (7th Edition):

Plumlee, Matthew. “Fast methods for identifying high dimensional systems using observations.” 2015. Web. 29 Nov 2020.

Vancouver:

Plumlee M. Fast methods for identifying high dimensional systems using observations. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/1853/53544.

Council of Science Editors:

Plumlee M. Fast methods for identifying high dimensional systems using observations. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53544


Texas A&M University

11. Zhang, Nan. Adaptive Basis Sampling for Smoothing Splines.

Degree: PhD, Statistics, 2015, Texas A&M University

 Smoothing splines provide flexible nonparametric regression estimators. Penalized likelihood method is adopted when responses are from exponential families and multivariate models are constructed with certain… (more)

Subjects/Keywords: Nonparametric regression; Penalized likelihood; Reproducing kernel Hilbert space

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APA (6th Edition):

Zhang, N. (2015). Adaptive Basis Sampling for Smoothing Splines. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155626

Chicago Manual of Style (16th Edition):

Zhang, Nan. “Adaptive Basis Sampling for Smoothing Splines.” 2015. Doctoral Dissertation, Texas A&M University. Accessed November 29, 2020. http://hdl.handle.net/1969.1/155626.

MLA Handbook (7th Edition):

Zhang, Nan. “Adaptive Basis Sampling for Smoothing Splines.” 2015. Web. 29 Nov 2020.

Vancouver:

Zhang N. Adaptive Basis Sampling for Smoothing Splines. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/1969.1/155626.

Council of Science Editors:

Zhang N. Adaptive Basis Sampling for Smoothing Splines. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155626

12. Crawford, Lorin Anthony. Bayesian Kernel Models for Statistical Genetics and Cancer Genomics .

Degree: 2017, Duke University

  The main contribution of this thesis is to examine the utility of kernel regression ap- proaches and variance component models for solving complex problems… (more)

Subjects/Keywords: Statistics; Biostatistics; Genetics; Epistasis; Radiogenomics; Reproducing kernel Hilbert space; Variance Component

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APA (6th Edition):

Crawford, L. A. (2017). Bayesian Kernel Models for Statistical Genetics and Cancer Genomics . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/14539

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):

Crawford, Lorin Anthony. “Bayesian Kernel Models for Statistical Genetics and Cancer Genomics .” 2017. Thesis, Duke University. Accessed November 29, 2020. http://hdl.handle.net/10161/14539.

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

MLA Handbook (7th Edition):

Crawford, Lorin Anthony. “Bayesian Kernel Models for Statistical Genetics and Cancer Genomics .” 2017. Web. 29 Nov 2020.

Vancouver:

Crawford LA. Bayesian Kernel Models for Statistical Genetics and Cancer Genomics . [Internet] [Thesis]. Duke University; 2017. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/10161/14539.

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

Council of Science Editors:

Crawford LA. Bayesian Kernel Models for Statistical Genetics and Cancer Genomics . [Thesis]. Duke University; 2017. Available from: http://hdl.handle.net/10161/14539

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


Universidade Federal do Maranhão

13. EWALDO ÉDER CARVALHO SANTANA JÚNIOR. EXTRAÇÃO CEGA DE SINAIS COM ESTRUTURAS TEMPORAIS UTILIZANDO ESPAÇOS DE HILBERT REPRODUZIDOS POR KERNEIS.

Degree: 2012, Universidade Federal do Maranhão

Esta dissertação deriva e avalia um novo método nãolinear para Extração Cega de Sinais através de operações algébricas em um Espaço de Hilbert Reproduzido por… (more)

Subjects/Keywords: Extração Cega de Fontes; Espaço de Hilbert Reproduzido por Kernel; Aprendizagem de Máquina utilizando Teoria da Informação; PROGRAMACAO LINEAR, NAO-LINEAR, MISTA E DINAMICA; Blind Signal Extraction; Reproducing Kernel Hilbert Spaces; Information-Theoretic Learning

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APA (6th Edition):

JÚNIOR, E. . C. S. (2012). EXTRAÇÃO CEGA DE SINAIS COM ESTRUTURAS TEMPORAIS UTILIZANDO ESPAÇOS DE HILBERT REPRODUZIDOS POR KERNEIS. (Thesis). Universidade Federal do Maranhão. Retrieved from http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=665

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):

JÚNIOR, EWALDO ÉDER CARVALHO SANTANA. “EXTRAÇÃO CEGA DE SINAIS COM ESTRUTURAS TEMPORAIS UTILIZANDO ESPAÇOS DE HILBERT REPRODUZIDOS POR KERNEIS.” 2012. Thesis, Universidade Federal do Maranhão. Accessed November 29, 2020. http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=665.

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

MLA Handbook (7th Edition):

JÚNIOR, EWALDO ÉDER CARVALHO SANTANA. “EXTRAÇÃO CEGA DE SINAIS COM ESTRUTURAS TEMPORAIS UTILIZANDO ESPAÇOS DE HILBERT REPRODUZIDOS POR KERNEIS.” 2012. Web. 29 Nov 2020.

Vancouver:

JÚNIOR ECS. EXTRAÇÃO CEGA DE SINAIS COM ESTRUTURAS TEMPORAIS UTILIZANDO ESPAÇOS DE HILBERT REPRODUZIDOS POR KERNEIS. [Internet] [Thesis]. Universidade Federal do Maranhão; 2012. [cited 2020 Nov 29]. Available from: http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=665.

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

Council of Science Editors:

JÚNIOR ECS. EXTRAÇÃO CEGA DE SINAIS COM ESTRUTURAS TEMPORAIS UTILIZANDO ESPAÇOS DE HILBERT REPRODUZIDOS POR KERNEIS. [Thesis]. Universidade Federal do Maranhão; 2012. Available from: http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=665

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

14. Giulini, Ilaria. Generalization bounds for random samples in Hilbert spaces : Estimation statistique dans les espaces de Hilbert.

Degree: Docteur es, Mathématiques, 2015, Paris, Ecole normale supérieure

Ce travail de thèse porte sur l'obtention de bornes de généralisation pour des échantillons statistiques à valeur dans des espaces de Hilbert définis par des… (more)

Subjects/Keywords: Espaces de Hilbert définis par des noyaux reproduisants; Opérateur de Gram; Data analysis in high dimension; PAC-Bayesian learning; Principal component analysis; Spectral clustering; Reproducing kernel Hilbert spaces; Kernel methods; Gram operator; Covariance matrix; 510

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

APA (6th Edition):

Giulini, I. (2015). Generalization bounds for random samples in Hilbert spaces : Estimation statistique dans les espaces de Hilbert. (Doctoral Dissertation). Paris, Ecole normale supérieure. Retrieved from http://www.theses.fr/2015ENSU0026

Chicago Manual of Style (16th Edition):

Giulini, Ilaria. “Generalization bounds for random samples in Hilbert spaces : Estimation statistique dans les espaces de Hilbert.” 2015. Doctoral Dissertation, Paris, Ecole normale supérieure. Accessed November 29, 2020. http://www.theses.fr/2015ENSU0026.

MLA Handbook (7th Edition):

Giulini, Ilaria. “Generalization bounds for random samples in Hilbert spaces : Estimation statistique dans les espaces de Hilbert.” 2015. Web. 29 Nov 2020.

Vancouver:

Giulini I. Generalization bounds for random samples in Hilbert spaces : Estimation statistique dans les espaces de Hilbert. [Internet] [Doctoral dissertation]. Paris, Ecole normale supérieure; 2015. [cited 2020 Nov 29]. Available from: http://www.theses.fr/2015ENSU0026.

Council of Science Editors:

Giulini I. Generalization bounds for random samples in Hilbert spaces : Estimation statistique dans les espaces de Hilbert. [Doctoral Dissertation]. Paris, Ecole normale supérieure; 2015. Available from: http://www.theses.fr/2015ENSU0026


Penn State University

15. Zhan, Xiang. Kernel Machine Methods With Applications to High-throughout Data.

Degree: 2015, Penn State University

 Recently, handling large and high-dimensional data has become increasingly important with the rapid development of high-throughput technologies. This is also referred to as ``big data''… (more)

Subjects/Keywords: Kernel machines; Reproducing kernel Hilbert space; Genome-wide association study; Metabolite differential analysis

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APA (6th Edition):

Zhan, X. (2015). Kernel Machine Methods With Applications to High-throughout Data. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/24895

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):

Zhan, Xiang. “Kernel Machine Methods With Applications to High-throughout Data.” 2015. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/24895.

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

MLA Handbook (7th Edition):

Zhan, Xiang. “Kernel Machine Methods With Applications to High-throughout Data.” 2015. Web. 29 Nov 2020.

Vancouver:

Zhan X. Kernel Machine Methods With Applications to High-throughout Data. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/24895.

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

Council of Science Editors:

Zhan X. Kernel Machine Methods With Applications to High-throughout Data. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/24895

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

16. Jordão, Thaís. Diferenciabilidade em espaços de Hilbert de reprodução sobre a esfera.

Degree: PhD, Matemática, 2012, University of São Paulo

Um espaço de Hilbert de reprodução (EHR) é um espaço de Hilbert de funções construído de maneira específica e única a partir de um núcleo… (more)

Subjects/Keywords: Diferenciabilidade; Differentiability; Esfera; Espaços de Hilbert de reprodução; Mercer Kernel; Núcleos de Mercer; Reproducing Kernel Hilbert space; Sphere

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APA (6th Edition):

Jordão, T. (2012). Diferenciabilidade em espaços de Hilbert de reprodução sobre a esfera. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55135/tde-29032012-103159/ ;

Chicago Manual of Style (16th Edition):

Jordão, Thaís. “Diferenciabilidade em espaços de Hilbert de reprodução sobre a esfera.” 2012. Doctoral Dissertation, University of São Paulo. Accessed November 29, 2020. http://www.teses.usp.br/teses/disponiveis/55/55135/tde-29032012-103159/ ;.

MLA Handbook (7th Edition):

Jordão, Thaís. “Diferenciabilidade em espaços de Hilbert de reprodução sobre a esfera.” 2012. Web. 29 Nov 2020.

Vancouver:

Jordão T. Diferenciabilidade em espaços de Hilbert de reprodução sobre a esfera. [Internet] [Doctoral dissertation]. University of São Paulo; 2012. [cited 2020 Nov 29]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55135/tde-29032012-103159/ ;.

Council of Science Editors:

Jordão T. Diferenciabilidade em espaços de Hilbert de reprodução sobre a esfera. [Doctoral Dissertation]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/55/55135/tde-29032012-103159/ ;

17. Benelmadani, Djihad. Contribution à la régression non paramétrique avec un processus erreur d'autocovariance générale et application en pharmacocinétique : Contribution to nonparametric regression estimation with general autocovariance error process and application to pharmacokinetics.

Degree: Docteur es, Mathématiques appliquées, 2019, Grenoble Alpes

 Dans cette thèse, nous considérons le modèle de régression avec plusieurs unités expérimentales, où les erreurs forment un processus d'autocovariance dans un cadre générale, c'est-à-dire,… (more)

Subjects/Keywords: Regression non paramétrique; Observations corrélées; Espace de Hilbert à noyau reproduisant; Règle de trapèze; Normalité asymptotique; Pharmacocinétique; Nonparametric regression; Correlated observations; Reproducing kernel hilbert spaces; Trapezoidal rule; Asymptotic normality; Pharmacokinetics; 510

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APA (6th Edition):

Benelmadani, D. (2019). Contribution à la régression non paramétrique avec un processus erreur d'autocovariance générale et application en pharmacocinétique : Contribution to nonparametric regression estimation with general autocovariance error process and application to pharmacokinetics. (Doctoral Dissertation). Grenoble Alpes. Retrieved from http://www.theses.fr/2019GREAM034

Chicago Manual of Style (16th Edition):

Benelmadani, Djihad. “Contribution à la régression non paramétrique avec un processus erreur d'autocovariance générale et application en pharmacocinétique : Contribution to nonparametric regression estimation with general autocovariance error process and application to pharmacokinetics.” 2019. Doctoral Dissertation, Grenoble Alpes. Accessed November 29, 2020. http://www.theses.fr/2019GREAM034.

MLA Handbook (7th Edition):

Benelmadani, Djihad. “Contribution à la régression non paramétrique avec un processus erreur d'autocovariance générale et application en pharmacocinétique : Contribution to nonparametric regression estimation with general autocovariance error process and application to pharmacokinetics.” 2019. Web. 29 Nov 2020.

Vancouver:

Benelmadani D. Contribution à la régression non paramétrique avec un processus erreur d'autocovariance générale et application en pharmacocinétique : Contribution to nonparametric regression estimation with general autocovariance error process and application to pharmacokinetics. [Internet] [Doctoral dissertation]. Grenoble Alpes; 2019. [cited 2020 Nov 29]. Available from: http://www.theses.fr/2019GREAM034.

Council of Science Editors:

Benelmadani D. Contribution à la régression non paramétrique avec un processus erreur d'autocovariance générale et application en pharmacocinétique : Contribution to nonparametric regression estimation with general autocovariance error process and application to pharmacokinetics. [Doctoral Dissertation]. Grenoble Alpes; 2019. Available from: http://www.theses.fr/2019GREAM034


University of Rochester

18. Xia, Changming; Liang, Hua. Generalized Semiparametric Linear Mixed-effects Models.

Degree: PhD, 2015, University of Rochester

 This dissertation proposes a novel method to compare tumor growth patterns and evaluates treatment effects using semiparametric linear mixed-effects (SLME) model, which allows a flexible… (more)

Subjects/Keywords: Mixed-effects; Generalized Linear Models; Semiparametric Regression; Generalized Maximum Likelihood; Reproducing Kernel Hilbert Space

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APA (6th Edition):

Xia, Changming; Liang, H. (2015). Generalized Semiparametric Linear Mixed-effects Models. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/30126

Chicago Manual of Style (16th Edition):

Xia, Changming; Liang, Hua. “Generalized Semiparametric Linear Mixed-effects Models.” 2015. Doctoral Dissertation, University of Rochester. Accessed November 29, 2020. http://hdl.handle.net/1802/30126.

MLA Handbook (7th Edition):

Xia, Changming; Liang, Hua. “Generalized Semiparametric Linear Mixed-effects Models.” 2015. Web. 29 Nov 2020.

Vancouver:

Xia, Changming; Liang H. Generalized Semiparametric Linear Mixed-effects Models. [Internet] [Doctoral dissertation]. University of Rochester; 2015. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/1802/30126.

Council of Science Editors:

Xia, Changming; Liang H. Generalized Semiparametric Linear Mixed-effects Models. [Doctoral Dissertation]. University of Rochester; 2015. Available from: http://hdl.handle.net/1802/30126


East Tennessee State University

19. Agrawal, Devanshu. The Complete Structure of Linear and Nonlinear Deformations of Frames on a Hilbert Space.

Degree: MS, Mathematical Sciences, 2016, East Tennessee State University

  A frame is a possibly linearly dependent set of vectors in a Hilbert space that facilitates the decomposition and reconstruction of vectors. A Parseval… (more)

Subjects/Keywords: Hilbert Space; Reproducing Kernel; Finite Frame; Gabor Frame; Fiber Bundle; Analysis; Mathematics

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APA (6th Edition):

Agrawal, D. (2016). The Complete Structure of Linear and Nonlinear Deformations of Frames on a Hilbert Space. (Masters Thesis). East Tennessee State University. Retrieved from https://dc.etsu.edu/etd/3003

Chicago Manual of Style (16th Edition):

Agrawal, Devanshu. “The Complete Structure of Linear and Nonlinear Deformations of Frames on a Hilbert Space.” 2016. Masters Thesis, East Tennessee State University. Accessed November 29, 2020. https://dc.etsu.edu/etd/3003.

MLA Handbook (7th Edition):

Agrawal, Devanshu. “The Complete Structure of Linear and Nonlinear Deformations of Frames on a Hilbert Space.” 2016. Web. 29 Nov 2020.

Vancouver:

Agrawal D. The Complete Structure of Linear and Nonlinear Deformations of Frames on a Hilbert Space. [Internet] [Masters thesis]. East Tennessee State University; 2016. [cited 2020 Nov 29]. Available from: https://dc.etsu.edu/etd/3003.

Council of Science Editors:

Agrawal D. The Complete Structure of Linear and Nonlinear Deformations of Frames on a Hilbert Space. [Masters Thesis]. East Tennessee State University; 2016. Available from: https://dc.etsu.edu/etd/3003


Iowa State University

20. Fortin, Daniel Clayton. Contributions to modeling spatially indexed functional data using a reproducing kernel Hilbert space framework.

Degree: 2015, Iowa State University

 In many instances, it is useful to view data as a collection of curves, particularly when the questions motivating the analysis relate to properties of… (more)

Subjects/Keywords: Statistics; functional data analysis; geostatistics; reproducing kernel Hilbert space; Statistics and Probability

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APA (6th Edition):

Fortin, D. C. (2015). Contributions to modeling spatially indexed functional data using a reproducing kernel Hilbert space framework. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/14836

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):

Fortin, Daniel Clayton. “Contributions to modeling spatially indexed functional data using a reproducing kernel Hilbert space framework.” 2015. Thesis, Iowa State University. Accessed November 29, 2020. https://lib.dr.iastate.edu/etd/14836.

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

MLA Handbook (7th Edition):

Fortin, Daniel Clayton. “Contributions to modeling spatially indexed functional data using a reproducing kernel Hilbert space framework.” 2015. Web. 29 Nov 2020.

Vancouver:

Fortin DC. Contributions to modeling spatially indexed functional data using a reproducing kernel Hilbert space framework. [Internet] [Thesis]. Iowa State University; 2015. [cited 2020 Nov 29]. Available from: https://lib.dr.iastate.edu/etd/14836.

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

Council of Science Editors:

Fortin DC. Contributions to modeling spatially indexed functional data using a reproducing kernel Hilbert space framework. [Thesis]. Iowa State University; 2015. Available from: https://lib.dr.iastate.edu/etd/14836

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


Rice University

21. Luo, Zhenwei. Sparsity and Smoothness and Their Application in Cryo-EM Single Particle Analysis.

Degree: PhD, Natural Sciences, 2020, Rice University

 We presented a new 3D refinement method for Cryo-EM single particle analysis which can improve the resolution of final electron density map in this thesis.… (more)

Subjects/Keywords: Cryo-EM; 3D reconstruction; ill-posed inverse problem; smoothness; sparsity; reproducing kernel Hilbert space; CUDA

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APA (6th Edition):

Luo, Z. (2020). Sparsity and Smoothness and Their Application in Cryo-EM Single Particle Analysis. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/108423

Chicago Manual of Style (16th Edition):

Luo, Zhenwei. “Sparsity and Smoothness and Their Application in Cryo-EM Single Particle Analysis.” 2020. Doctoral Dissertation, Rice University. Accessed November 29, 2020. http://hdl.handle.net/1911/108423.

MLA Handbook (7th Edition):

Luo, Zhenwei. “Sparsity and Smoothness and Their Application in Cryo-EM Single Particle Analysis.” 2020. Web. 29 Nov 2020.

Vancouver:

Luo Z. Sparsity and Smoothness and Their Application in Cryo-EM Single Particle Analysis. [Internet] [Doctoral dissertation]. Rice University; 2020. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/1911/108423.

Council of Science Editors:

Luo Z. Sparsity and Smoothness and Their Application in Cryo-EM Single Particle Analysis. [Doctoral Dissertation]. Rice University; 2020. Available from: http://hdl.handle.net/1911/108423


Virginia Tech

22. Amaya, Austin J. Beurling-Lax Representations of Shift-Invariant Spaces, Zero-Pole Data Interpolation, and Dichotomous Transfer Function Realizations: Half-Plane/Continuous-Time Versions.

Degree: PhD, Mathematics, 2012, Virginia Tech

 Given a full-range simply-invariant shift-invariant subspace <i>M</i> of the vector-valued <i>L2</i> space on the unit circle, the classical Beurling-Lax-Halmos (BLH) theorem obtains a unitary operator-valued… (more)

Subjects/Keywords: reproducing kernel Hilbert spaces; Hardy spaces over left/right half plane; admissible Sylvester data set; operator Sylvester equation; infinite dimensional zero-pole data; continuous shift semigroups; Ltwo well-posed linear systems; continuous-time linear systems

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APA (6th Edition):

Amaya, A. J. (2012). Beurling-Lax Representations of Shift-Invariant Spaces, Zero-Pole Data Interpolation, and Dichotomous Transfer Function Realizations: Half-Plane/Continuous-Time Versions. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/27636

Chicago Manual of Style (16th Edition):

Amaya, Austin J. “Beurling-Lax Representations of Shift-Invariant Spaces, Zero-Pole Data Interpolation, and Dichotomous Transfer Function Realizations: Half-Plane/Continuous-Time Versions.” 2012. Doctoral Dissertation, Virginia Tech. Accessed November 29, 2020. http://hdl.handle.net/10919/27636.

MLA Handbook (7th Edition):

Amaya, Austin J. “Beurling-Lax Representations of Shift-Invariant Spaces, Zero-Pole Data Interpolation, and Dichotomous Transfer Function Realizations: Half-Plane/Continuous-Time Versions.” 2012. Web. 29 Nov 2020.

Vancouver:

Amaya AJ. Beurling-Lax Representations of Shift-Invariant Spaces, Zero-Pole Data Interpolation, and Dichotomous Transfer Function Realizations: Half-Plane/Continuous-Time Versions. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/10919/27636.

Council of Science Editors:

Amaya AJ. Beurling-Lax Representations of Shift-Invariant Spaces, Zero-Pole Data Interpolation, and Dichotomous Transfer Function Realizations: Half-Plane/Continuous-Time Versions. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/27636


Penn State University

23. Mirshani, Ardalan. Regularization Methods In Functional Data Analysis.

Degree: 2019, Penn State University

 New studies, surveys, and technologies are resulting in ever richer and more informative data sets. With the development of modern technology, Functional data analysis (FDA)… (more)

Subjects/Keywords: Functional Data; Differential Privacy; Hilbert Space; Variable Selection; Reproducing Kernel Hilbert Space; Oracle Property; Elastic Net; Smooth Estimate; Density Estimation

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

APA (6th Edition):

Mirshani, A. (2019). Regularization Methods In Functional Data Analysis. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16828azm245

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):

Mirshani, Ardalan. “Regularization Methods In Functional Data Analysis.” 2019. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/16828azm245.

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

MLA Handbook (7th Edition):

Mirshani, Ardalan. “Regularization Methods In Functional Data Analysis.” 2019. Web. 29 Nov 2020.

Vancouver:

Mirshani A. Regularization Methods In Functional Data Analysis. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/16828azm245.

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

Council of Science Editors:

Mirshani A. Regularization Methods In Functional Data Analysis. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16828azm245

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

24. Niedzialomski, Robert. Extension of positive definite functions.

Degree: PhD, Mathematics, 2013, University of Iowa

  Let Ω\subsetℝn be an open and connected subset of ℝn. We say that a function F\colon Ω-Ω → ℂ, where Ω-Ω={x-y\colon x,y∈Ω}, is positive definite if… (more)

Subjects/Keywords: commuting selfadjoint operators; positive definite functions; reproducing kernel Hilbert spaces; Mathematics

…kernels, positive definite functions, and reproducing kernel Hilbert spaces. We focus on… …CHAPTER 2 POSITIVE DEFINITE KERNELS AND FUNCTIONS, REPRODUCING KERNEL HILBERT SPACES 2.1… …are positive definite. 22 2.3 Reproducing kernel Hilbert spaces Let X be a set and let F… …f − fn kx → 0. Corollary 2.3.3. Let H1 and H2 be two reproducing kernel Hilbert spaces… …way, we naturally arrive at the notion of a reproducing kernel Hilbert space. The study and… 

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APA (6th Edition):

Niedzialomski, R. (2013). Extension of positive definite functions. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/2595

Chicago Manual of Style (16th Edition):

Niedzialomski, Robert. “Extension of positive definite functions.” 2013. Doctoral Dissertation, University of Iowa. Accessed November 29, 2020. https://ir.uiowa.edu/etd/2595.

MLA Handbook (7th Edition):

Niedzialomski, Robert. “Extension of positive definite functions.” 2013. Web. 29 Nov 2020.

Vancouver:

Niedzialomski R. Extension of positive definite functions. [Internet] [Doctoral dissertation]. University of Iowa; 2013. [cited 2020 Nov 29]. Available from: https://ir.uiowa.edu/etd/2595.

Council of Science Editors:

Niedzialomski R. Extension of positive definite functions. [Doctoral Dissertation]. University of Iowa; 2013. Available from: https://ir.uiowa.edu/etd/2595


Texas A&M University

25. Ren, Haobo. Functional inverse regression and reproducing kernel Hilbert space.

Degree: PhD, Statistics, 2006, Texas A&M University

 The basic philosophy of Functional Data Analysis (FDA) is to think of the observed data functions as elements of a possibly infinite-dimensional function space. Most… (more)

Subjects/Keywords: Functional data analaysis; Inverse Regression; Reproducing Kernel Hilbert Space

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APA (6th Edition):

Ren, H. (2006). Functional inverse regression and reproducing kernel Hilbert space. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/4203

Chicago Manual of Style (16th Edition):

Ren, Haobo. “Functional inverse regression and reproducing kernel Hilbert space.” 2006. Doctoral Dissertation, Texas A&M University. Accessed November 29, 2020. http://hdl.handle.net/1969.1/4203.

MLA Handbook (7th Edition):

Ren, Haobo. “Functional inverse regression and reproducing kernel Hilbert space.” 2006. Web. 29 Nov 2020.

Vancouver:

Ren H. Functional inverse regression and reproducing kernel Hilbert space. [Internet] [Doctoral dissertation]. Texas A&M University; 2006. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/1969.1/4203.

Council of Science Editors:

Ren H. Functional inverse regression and reproducing kernel Hilbert space. [Doctoral Dissertation]. Texas A&M University; 2006. Available from: http://hdl.handle.net/1969.1/4203


Purdue University

26. Qu, Simeng. Functional regression models in the frame work of reproducing kernel Hilbert space.

Degree: PhD, Statistics, 2016, Purdue University

  The aim of this thesis is to systematically investigate some functional regression models for accurately quantifying the effect of functional predictors. In particular, three… (more)

Subjects/Keywords: Pure sciences; Dictionary learning; Functional Cox model; Functional linear regression; Functional regression; Reproducing kernel Hilbert space; Statistics and Probability

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APA (6th Edition):

Qu, S. (2016). Functional regression models in the frame work of reproducing kernel Hilbert space. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/991

Chicago Manual of Style (16th Edition):

Qu, Simeng. “Functional regression models in the frame work of reproducing kernel Hilbert space.” 2016. Doctoral Dissertation, Purdue University. Accessed November 29, 2020. https://docs.lib.purdue.edu/open_access_dissertations/991.

MLA Handbook (7th Edition):

Qu, Simeng. “Functional regression models in the frame work of reproducing kernel Hilbert space.” 2016. Web. 29 Nov 2020.

Vancouver:

Qu S. Functional regression models in the frame work of reproducing kernel Hilbert space. [Internet] [Doctoral dissertation]. Purdue University; 2016. [cited 2020 Nov 29]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/991.

Council of Science Editors:

Qu S. Functional regression models in the frame work of reproducing kernel Hilbert space. [Doctoral Dissertation]. Purdue University; 2016. Available from: https://docs.lib.purdue.edu/open_access_dissertations/991

27. Qin, Yue 1985-. A Second Order Variational Approach For Diffeomorphic Matching Of 3D Surfaces.

Degree: PhD, Applied Mathematics, 2013, University of Houston

 In medical 3D-imaging, one of the main goals of image registration is to accurately compare two observed 3D-shapes. In this dissertation, we consider optimal matching… (more)

Subjects/Keywords: Diffeomorphic image matching; Deformable surfaces; Reproducing kernel Hilbert spaces; Dirac measures; Second order method; Newton descent; Dynamic programming; Applied mathematics

…this subject, namely reproducing kernel Hilbert spaces, dynamic system, and distances of… …chosen for reproducing kernel Hilbert spaces [27]. It has been numerically… …Reproducing Kernel Hilbert Space Reproducing kernel Hilbert spaces (RKHS) arise in a… …reproducing kernel Hilbert space. Definition 2.2. Let H be a class of functions defined in Rd… …forming a Hilbert space. The function K : Rd × Rd → R is called a reproducing kernel of H if 1… 

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APA (6th Edition):

Qin, Y. 1. (2013). A Second Order Variational Approach For Diffeomorphic Matching Of 3D Surfaces. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/489

Chicago Manual of Style (16th Edition):

Qin, Yue 1985-. “A Second Order Variational Approach For Diffeomorphic Matching Of 3D Surfaces.” 2013. Doctoral Dissertation, University of Houston. Accessed November 29, 2020. http://hdl.handle.net/10657/489.

MLA Handbook (7th Edition):

Qin, Yue 1985-. “A Second Order Variational Approach For Diffeomorphic Matching Of 3D Surfaces.” 2013. Web. 29 Nov 2020.

Vancouver:

Qin Y1. A Second Order Variational Approach For Diffeomorphic Matching Of 3D Surfaces. [Internet] [Doctoral dissertation]. University of Houston; 2013. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/10657/489.

Council of Science Editors:

Qin Y1. A Second Order Variational Approach For Diffeomorphic Matching Of 3D Surfaces. [Doctoral Dissertation]. University of Houston; 2013. Available from: http://hdl.handle.net/10657/489


Indian Institute of Science

28. Bhattacharjee, Monojit. Analytic Models, Dilations, Wandering Subspaces and Inner Functions.

Degree: PhD, Faculty of Science, 2019, Indian Institute of Science

 This thesis concerns dilation theory, analytic models, joint invariant subspaces, reproducing kernelHilbert spaces and multipliers associated to commuting tuples of bounded linear operators on Hilbert(more)

Subjects/Keywords: Multivariate Operator Theory; Kernel Hilbert Spaces; Agler’s Hypercontraction; Wandering Subspaces; Invariant Subspaces; Analytic Hilbert Spaces; K-inner Functions; Dilations; Tuples of Operators; Hilbert Space; Mathematics

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

APA (6th Edition):

Bhattacharjee, M. (2019). Analytic Models, Dilations, Wandering Subspaces and Inner Functions. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/4241

Chicago Manual of Style (16th Edition):

Bhattacharjee, Monojit. “Analytic Models, Dilations, Wandering Subspaces and Inner Functions.” 2019. Doctoral Dissertation, Indian Institute of Science. Accessed November 29, 2020. http://etd.iisc.ac.in/handle/2005/4241.

MLA Handbook (7th Edition):

Bhattacharjee, Monojit. “Analytic Models, Dilations, Wandering Subspaces and Inner Functions.” 2019. Web. 29 Nov 2020.

Vancouver:

Bhattacharjee M. Analytic Models, Dilations, Wandering Subspaces and Inner Functions. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2019. [cited 2020 Nov 29]. Available from: http://etd.iisc.ac.in/handle/2005/4241.

Council of Science Editors:

Bhattacharjee M. Analytic Models, Dilations, Wandering Subspaces and Inner Functions. [Doctoral Dissertation]. Indian Institute of Science; 2019. Available from: http://etd.iisc.ac.in/handle/2005/4241


University of Kentucky

29. Ke, Chenlu. A NEW INDEPENDENCE MEASURE AND ITS APPLICATIONS IN HIGH DIMENSIONAL DATA ANALYSIS.

Degree: 2019, University of Kentucky

 This dissertation has three consecutive topics. First, we propose a novel class of independence measures for testing independence between two random vectors based on the… (more)

Subjects/Keywords: High dimensional data analysis; Independence; Reproducing Kernel Hilbert Space; Sufficient Dimension Reduction; Sufficient Variable Selection; Categorical Data Analysis; Multivariate Analysis; Statistics and Probability

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

APA (6th Edition):

Ke, C. (2019). A NEW INDEPENDENCE MEASURE AND ITS APPLICATIONS IN HIGH DIMENSIONAL DATA ANALYSIS. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/statistics_etds/41

Chicago Manual of Style (16th Edition):

Ke, Chenlu. “A NEW INDEPENDENCE MEASURE AND ITS APPLICATIONS IN HIGH DIMENSIONAL DATA ANALYSIS.” 2019. Doctoral Dissertation, University of Kentucky. Accessed November 29, 2020. https://uknowledge.uky.edu/statistics_etds/41.

MLA Handbook (7th Edition):

Ke, Chenlu. “A NEW INDEPENDENCE MEASURE AND ITS APPLICATIONS IN HIGH DIMENSIONAL DATA ANALYSIS.” 2019. Web. 29 Nov 2020.

Vancouver:

Ke C. A NEW INDEPENDENCE MEASURE AND ITS APPLICATIONS IN HIGH DIMENSIONAL DATA ANALYSIS. [Internet] [Doctoral dissertation]. University of Kentucky; 2019. [cited 2020 Nov 29]. Available from: https://uknowledge.uky.edu/statistics_etds/41.

Council of Science Editors:

Ke C. A NEW INDEPENDENCE MEASURE AND ITS APPLICATIONS IN HIGH DIMENSIONAL DATA ANALYSIS. [Doctoral Dissertation]. University of Kentucky; 2019. Available from: https://uknowledge.uky.edu/statistics_etds/41


University of Michigan

30. Naiman, Joseph. Multivariate Functional Regression and Selection.

Degree: PhD, Biostatistics, 2020, University of Michigan

 With the pervasiveness of sensor data, real-time physiological signals and behavioral data are often collected in many biomedical studies. This thesis is motivated by data… (more)

Subjects/Keywords: Functional predictor; Linear mixed-effects model, Mobile device, Reproducing kernel Hilbert space, Sparse group regularization; Public Health; Mathematics; Statistics and Numeric Data; Business and Economics; Science

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

APA (6th Edition):

Naiman, J. (2020). Multivariate Functional Regression and Selection. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/162990

Chicago Manual of Style (16th Edition):

Naiman, Joseph. “Multivariate Functional Regression and Selection.” 2020. Doctoral Dissertation, University of Michigan. Accessed November 29, 2020. http://hdl.handle.net/2027.42/162990.

MLA Handbook (7th Edition):

Naiman, Joseph. “Multivariate Functional Regression and Selection.” 2020. Web. 29 Nov 2020.

Vancouver:

Naiman J. Multivariate Functional Regression and Selection. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/2027.42/162990.

Council of Science Editors:

Naiman J. Multivariate Functional Regression and Selection. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/162990

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