Keyword : Kullback-Leibler divergence


Independent Low-Rank Matrix Analysis Based on Generalized Kullback-Leibler Divergence
Shinichi MOGAMI Yoshiki MITSUI Norihiro TAKAMUNE Daichi KITAMURA Hiroshi SARUWATARI Yu TAKAHASHI Kazunobu KONDO Hiroaki NAKAJIMA Hirokazu KAMEOKA 
Publication:   
Publication Date: 2019/02/01
Vol. E102-A  No. 2 ; pp. 458-463
Type of Manuscript:  LETTER
Category: Engineering Acoustics
Keyword: 
blind source separationnonnegative matrix factorizationPoisson distributionKullback-Leibler divergence
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Mutual Kernel Matrix Completion
Rachelle RIVERO Richard LEMENCE Tsuyoshi KATO 
Publication:   
Publication Date: 2017/08/01
Vol. E100-D  No. 8 ; pp. 1844-1851
Type of Manuscript:  PAPER
Category: Artificial Intelligence, Data Mining
Keyword: 
kernel matrix completionEM algorithmKullback-Leibler divergencesupport vector machine (SVM)data fusion
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Active Learning Using Phone-Error Distribution for Speech Modeling
Hiroko MURAKAMI Koichi SHINODA Sadaoki FURUI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2012/10/01
Vol. E95-D  No. 10 ; pp. 2486-2494
Type of Manuscript:  PAPER
Category: Speech and Hearing
Keyword: 
active learningspeaker adaptationacoustic modelingphone error distributionKullback-Leibler divergence
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On the Twisted Markov Chain of Importance Sampling Simulation
Kenji NAKAGAWA 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1996/09/25
Vol. E79-A  No. 9 ; pp. 1423-1428
Type of Manuscript:  Special Section PAPER (Special Section on Information Theory and Its Applications)
Category: Stochastic Process/Learning
Keyword: 
importance samplingMarkov chainKullback-Leibler divergencelarge deviations theoryinformation geometry
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Improved Sample Complexity Bounds for Parameter Estimation
Jun-ichi TAKEUCHI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 1995/05/25
Vol. E78-D  No. 5 ; pp. 526-531
Type of Manuscript:  Special Section PAPER (Special Issue on Algorithmic Learning Theory)
Category: Computational Learning Theory
Keyword: 
PAC learningsample complexityLaplace estimatorKullback-Leibler divergence
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