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Príncipe, J. C. (José C.)
Information theoretic learning : Renyi's entropy and kernel perspectives / José C. Principe
New York : Springer, c2010
book jacket
Location Call Number Status
 4th Floor  Q325.5 .P755 2010    DUE 09-15-14
Subject(s) Machine learning
Mathematical statistics
Physical Description xxii, 526 p. : ill. ; 24 cm
Note Includes bibliographical references (p. 499-515) and index
Contents Information theory, machine learning, and reproducing kernel Hilbert spaces -- Renyi's entropy, divergence and their nonparametric estimators / chapter co-authors: Dongxin Xu and Deniz Erdogmus -- Adaptive information filtering with error entropy and error correntropy criteria / chapter coauthors: Deniz Erdogmus and Weifeng Liu -- Algorithms for entropy and correntropy adaptation with applications to linear systems / chapter coauthors: Deniz Erdogmus, Seungju Han, and Abhishek Singh -- Nonlinear adaptive filtering with MEE, MCC, and applications / chapter coauthors: Deinz Erdogmus, Rodney Morejon and Weifeng Liu -- Classification with EEC, divergence measures, and error bounds / chapter coauthors: Deniz Erdogmus, Dongxin Xu, and Kenneth Hild II -- Clustering with ITL principles / chapter coauthors: Robert Jenssen and Sudhir Rao -- Self-organizing ITL principles for unsupervised learning / chapter coauthors: Sudhir Rao ... [et al.] -- A reproducing kernel Hilbert space framework for ITL / chapter coauthors: Jianwu Xu ... [et al.] -- Correntropy for random variables: properties and applications in statistical inference / chapter coauthors: Weifeng Liu ... [et al.] -- Correntropy for random processes: properties and applications in signal processing / chapter coauthors: Puskal Pokharel ... [et al.] -- PDF estimation methods and experimental evaluation of ITL descriptors / chapter coauthors: Deniz Erdogmus and Rodney Morejon
Series Information science and statistics

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