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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2011-11-10
15:45		 Nara Nara Womens Univ. A Linear Time Subpath Kernel for Trees
Daisuke Kimura, Hisashi Kashima (Univ. of Tokyo) IBISML2011-85		 Kernel method is one of the promising approaches to learning with
tree-structured data, and various efficient tree ker... [more]		 IBISML2011-85
pp.291-296
MSS 2011-01-21
13:35		 Yamaguchi Kaikyo-Messe-Shimonoseki Proposal of an Improved Algorithm for Finding Kernel Set and a New Method
Yuki Ikeda, Yasuto Aihara, Qi-Wei Ge, Mitsuru Nakata (Yamaguchi Univ.) CST2010-75		 In this paper, we propose an improved algorithm for finding kernel set and further propose a new method by using Tree-de... [more] CST2010-75
pp.87-92
SP, NLC 2009-12-22
15:50		 Tokyo Univ. of Tokyo Speech Conversion Method into Intelligible English Using Utterance of User
Yuichi Koshiba, Akira Kurematsu, Katsuhiko Shirai (Waseda Univ.) NLC2009-24 SP2009-88		 Due to recent international and diverse use of English, unintelligible English utterance is increasing. To solve this pr... [more] NLC2009-24 SP2009-88
pp.147-152
AI 2004-06-21
10:50		 Tokyo Kikai-Shinko-Kaikan Bldg. Kernel-based Discriminative Learning Algorithms for Labeling Sequences, Trees and Graphs
Hisashi Kashima, Yuta Tsuboi (IBM Research) 		We introduce a new perceptron-based discriminative learning algorithm fo
r labeling structural data such as sequences, ... [more]		 AI2004-3
pp.13-18
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