Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2023/03/01 Vol. E106-ANo. 3 ;
pp. 422-430 Type of Manuscript: Special Section PAPER (Special Section on Information Theory and Its Applications) Category: Learning Keyword: classification, label noise, asymptotic evaluation, risk function, Kullback-Leibler divergence,
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-ANo. 9 ;
pp. 1423-1428 Type of Manuscript: Special Section PAPER (Special Section on Information Theory and Its Applications) Category: Stochastic Process/Learning Keyword: importance sampling, Markov chain, Kullback-Leibler divergence, large deviations theory, information geometry,
Improved Sample Complexity Bounds for Parameter Estimation Jun-ichi TAKEUCHI
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 1995/05/25 Vol. E78-DNo. 5 ;
pp. 526-531 Type of Manuscript: Special Section PAPER (Special Issue on Algorithmic Learning Theory) Category: Computational Learning Theory Keyword: PAC learning, sample complexity, Laplace estimator, Kullback-Leibler divergence,