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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2015-11-26
15:00		 Ibaraki Epochal Tsukuba [Poster Presentation] Halting in Random Walk Kernels
Mahito Sugiyama (Osaka Univ.), Karsten Borgwardt (ETHZ) IBISML2015-63		 Random walk kernels measure graph similarity by counting matching walks in two graphs. In their most popular form of geo... [more] IBISML2015-63
pp.75-82
AI 2011-11-21
11:00		 Fukuoka   A Working Pattern Extraction Method From Low Level PC Usage Logs
Ryohei Saito (HH), Tetsuji Kuboyama (Gakushuin Univ.), Yuta Yamakawa (HH), Hiroshi Yasuda (Tokyo Denki Univ.) AI2011-19		 This paper proposes a novel method for analyzing PC usage logs aiming to nd working patterns and
behaviors of employee... [more]		 AI2011-19
pp.13-18
PRMU, NLC 2005-02-25
13:45		 Tokyo   [Special Talk] Kernel Methods for Analyzing Structured-data
Hisashi Kashima (IBM Research) 		We introduce kernel-based approaches for analyzing structured data
such as sequences, trees, and graphs.
Especially,
... [more]		 NLC2004-126 PRMU2004-208
pp.61-66
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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