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IEICE Trans

Naoki ABE

Polynomial Learnability of Stochastic Rules with Respect to the KL-Divergence and Quadratic Distance
Naoki ABE Jun-ichi TAKEUCHI Manfred K. WARMUTH 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2001/03/01
Vol. E84-D  No. 3  pp. 299-316
Type of Manuscript:  PAPER
Category: Theory of Automata, Formal Language Theory
Keyword: 
PAC-learning, KL-divergence, quadratic-distance, stochastic rules, p-concepts, 
 Summary | Full Text:PDF
Polynomially Sparse Variations and Reducibility among Prediction Problems
Naoki ABE Osamu WATANABE 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 1992/07/25
Vol. E75-D  No. 4  pp. 449-458
Type of Manuscript:  Special Section PAPER (Special Issue on Algorithmic Learning Theory)
Category: 
Keyword: 
prediction preserving reducibility, turing reducibility, many-one reducibility, polynomially sparse variants, PAC learning model, computational learning theory, 
 Summary | Full Text:PDF