The Resource Information Theoretic Learning : Renyi's Entropy and Kernel Perspectives, by Jose C. Principe, (electronic resource)

Information Theoretic Learning : Renyi's Entropy and Kernel Perspectives, by Jose C. Principe, (electronic resource)

Label
Information Theoretic Learning : Renyi's Entropy and Kernel Perspectives
Title
Information Theoretic Learning
Title remainder
Renyi's Entropy and Kernel Perspectives
Statement of responsibility
by Jose C. Principe
Creator
Author
Author
Subject
Language
  • eng
  • eng
Summary
This book presents the first cohesive treatment of Information Theoretic Learning (ITL) algorithms to adapt linear or nonlinear learning machines both in supervised or unsupervised paradigms. ITL is a framework where the conventional concepts of second order statistics (covariance, L2 distances, correlation functions) are substituted by scalars and functions with information theoretic underpinnings, respectively entropy, mutual information and correntropy. ITL quantifies the stochastic structure of the data beyond second order statistics for improved performance without using full-blown Bayesian approaches that require a much larger computational cost. This is possible because of a non-parametric estimator of Renyi’s quadratic entropy that is only a function of pairwise differences between samples. The book compares the performance of ITL algorithms with the second order counterparts in many engineering and machine learning applications. Students, practitioners and researchers interested in statistical signal processing, computational intelligence, and machine learning will find in this book the theory to understand the basics, the algorithms to implement applications, and exciting but still unexplored leads that will provide fertile ground for future research. José C. Principe is Distinguished Professor of Electrical and Biomedical Engineering, and BellSouth Professor at the University of Florida, and the Founder and Director of the Computational NeuroEngineering Laboratory. He is an IEEE and AIMBE Fellow, Past President of the International Neural Network Society, Past Editor-in-Chief of the IEEE Trans. on Biomedical Engineering and the Founder Editor-in-Chief of the IEEE Reviews on Biomedical Engineering. He has written an interactive electronic book on Neural Networks, a book on Brain Machine Interface Engineering and more recently a book on Kernel Adaptive Filtering, and was awarded the 2011 IEEE Neural Network Pioneer Award
Member of
Is Subseries of
http://library.link/vocab/creatorName
Principe, Jose C
Dewey number
006.31
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
1-N0WQ9GZdI
Language note
English
LC call number
QA75.5-76.95
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Information Science and Statistics,
http://library.link/vocab/subjectName
  • Information theory
  • Artificial intelligence
  • Engineering
  • Statistics
  • Theory of Computation
  • Artificial Intelligence
  • Signal, Image and Speech Processing
  • Computational Intelligence
  • Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  • Remote Sensing/Photogrammetry
Label
Information Theoretic Learning : Renyi's Entropy and Kernel Perspectives, by Jose C. Principe, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references (p. 499-515) and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
Information Theory, Machine Learning, and Reproducing Kernel Hilbert Spaces -- Renyi’s Entropy, Divergence and Their Nonparametric Estimators -- Adaptive Information Filtering with Error Entropy and Error Correntropy Criteria -- Algorithms for Entropy and Correntropy Adaptation with Applications to Linear Systems -- Nonlinear Adaptive Filtering with MEE, MCC, and Applications -- Classification with EEC, Divergence Measures, and Error Bounds -- Clustering with ITL Principles -- Self-Organizing ITL Principles for Unsupervised Learning -- A Reproducing Kernel Hilbert Space Framework for ITL -- Correntropy for Random Variables: Properties and Applications in Statistical Inference -- Correntropy for Random Processes: Properties and Applications in Signal Processing
Dimensions
unknown
Edition
1st ed. 2010.
Extent
1 online resource (537 p.)
Form of item
online
Isbn
9781282836068
Media category
computer
Media type code
c
Other control number
10.1007/978-1-4419-1570-2
Specific material designation
remote
System control number
  • (CKB)2550000000011156
  • (EBL)3065187
  • (SSID)ssj0000399316
  • (PQKBManifestationID)11275084
  • (PQKBTitleCode)TC0000399316
  • (PQKBWorkID)10383877
  • (PQKB)10684603
  • (DE-He213)978-1-4419-1570-2
  • (MiAaPQ)EBC1316827
  • (EXLCZ)992550000000011156
Label
Information Theoretic Learning : Renyi's Entropy and Kernel Perspectives, by Jose C. Principe, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references (p. 499-515) and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
Information Theory, Machine Learning, and Reproducing Kernel Hilbert Spaces -- Renyi’s Entropy, Divergence and Their Nonparametric Estimators -- Adaptive Information Filtering with Error Entropy and Error Correntropy Criteria -- Algorithms for Entropy and Correntropy Adaptation with Applications to Linear Systems -- Nonlinear Adaptive Filtering with MEE, MCC, and Applications -- Classification with EEC, Divergence Measures, and Error Bounds -- Clustering with ITL Principles -- Self-Organizing ITL Principles for Unsupervised Learning -- A Reproducing Kernel Hilbert Space Framework for ITL -- Correntropy for Random Variables: Properties and Applications in Statistical Inference -- Correntropy for Random Processes: Properties and Applications in Signal Processing
Dimensions
unknown
Edition
1st ed. 2010.
Extent
1 online resource (537 p.)
Form of item
online
Isbn
9781282836068
Media category
computer
Media type code
c
Other control number
10.1007/978-1-4419-1570-2
Specific material designation
remote
System control number
  • (CKB)2550000000011156
  • (EBL)3065187
  • (SSID)ssj0000399316
  • (PQKBManifestationID)11275084
  • (PQKBTitleCode)TC0000399316
  • (PQKBWorkID)10383877
  • (PQKB)10684603
  • (DE-He213)978-1-4419-1570-2
  • (MiAaPQ)EBC1316827
  • (EXLCZ)992550000000011156

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