Jaak SIMM


Tree-Based Ensemble Multi-Task Learning Method for Classification and Regression
Jaak SIMM Ildefons MAGRANS DE ABRIL Masashi SUGIYAMA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2014/06/01
Vol. E97-D  No. 6  pp. 1677-1681
Type of Manuscript:  LETTER
Category: Pattern Recognition
Keyword: 
machine learningmulti-task learningtree-based methodsensemble methods
 Summary | Full Text:PDF(180.3KB)

Multi-Task Approach to Reinforcement Learning for Factored-State Markov Decision Problems
Jaak SIMM Masashi SUGIYAMA Hirotaka HACHIYA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2012/10/01
Vol. E95-D  No. 10  pp. 2426-2437
Type of Manuscript:  PAPER
Category: Artificial Intelligence, Data Mining
Keyword: 
reinforcement learningmulti-task learningtransfer learningfactored state modelsMarkov decision process
 Summary | Full Text:PDF(508.1KB)

Improving the Accuracy of Least-Squares Probabilistic Classifiers
Makoto YAMADA Masashi SUGIYAMA Gordon WICHERN Jaak SIMM 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2011/06/01
Vol. E94-D  No. 6  pp. 1337-1340
Type of Manuscript:  LETTER
Category: Pattern Recognition
Keyword: 
least-squares probabilistic classifierkernel logistic regressiondensity ratioPASCAL VOC 2010freesound
 Summary | Full Text:PDF(114.6KB)

Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers
Makoto YAMADA Masashi SUGIYAMA Gordon WICHERN Jaak SIMM 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2010/10/01
Vol. E93-D  No. 10  pp. 2846-2849
Type of Manuscript:  LETTER
Category: Fundamentals of Information Systems
Keyword: 
importanceKullback-Leibler importance estimation proceduremixture of probabilistic principal component analyzersexpectation-maximization algorithm
 Summary | Full Text:PDF(121.1KB)