Takafumi KANAMORI


Constrained Least-Squares Density-Difference Estimation
Tuan Duong NGUYEN Marthinus Christoffel DU PLESSIS Takafumi KANAMORI Masashi SUGIYAMA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2014/07/01
Vol. E97-D  No. 7  pp. 1822-1829
Type of Manuscript:  PAPER
Category: Artificial Intelligence, Data Mining
Keyword: 
density differenceasymptotic varianceL2-distancebiasclass-balance changetwo-sample homogeneity test
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Multiscale Bagging and Its Applications
Hidetoshi SHIMODAIRA Takafumi KANAMORI Masayoshi AOKI Kouta MINE 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2011/10/01
Vol. E94-D  No. 10  pp. 1924-1932
Type of Manuscript:  Special Section PAPER (Special Section on Information-Based Induction Sciences and Machine Learning)
Category: 
Keyword: 
baggingactive learningconfidence levelclassification
 Summary | Full Text:PDF(1.9MB)

Theoretical Analysis of Density Ratio Estimation
Takafumi KANAMORI Taiji SUZUKI Masashi SUGIYAMA 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2010/04/01
Vol. E93-A  No. 4  pp. 787-798
Type of Manuscript:  PAPER
Category: Algorithms and Data Structures
Keyword: 
density ratio estimationdensity estimationlogistic regressionasymptotic analysisGaussian assumption
 Summary | Full Text:PDF(246.7KB)

Least-Squares Conditional Density Estimation
Masashi SUGIYAMA Ichiro TAKEUCHI Taiji SUZUKI Takafumi KANAMORI Hirotaka HACHIYA Daisuke OKANOHARA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2010/03/01
Vol. E93-D  No. 3  pp. 583-594
Type of Manuscript:  PAPER
Category: Pattern Recognition
Keyword: 
conditional density estimationmultimodalityheteroscedastic noisedirect density ratio estimationtransition estimation
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Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability
Takafumi KANAMORI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2007/12/01
Vol. E90-D  No. 12  pp. 2033-2042
Type of Manuscript:  PAPER
Category: Artificial Intelligence and Cognitive Science
Keyword: 
multiclass classificationloss functionsconditional probabilityshrinkage estimatorlearning process
 Summary | Full Text:PDF(232.4KB)