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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 9件中 1~9件目  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] On comparison of dynamical systems via Perron-Frobenius operators on reproducing kernel Hilbert spaces
Isao Ishikawa (RIKEN/Keio Univ.), Keisuke Fujii (RIKEN), Masahiro Ikeda (RIKEN/Keio Univ.), Yuka Hashimoto (Keio Univ.), Yoshinobu Kawahara (Osaka Univ/RIKEN.)
The development of a metric for structural data is a long-term problem in pattern recognition and machine learning. In t... [more] IBISML2018-67
pp.175-182
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] An Efficient Branch-and-Bound Algorithm for Submodular Function Maximization
Naoya Uematsu, Shunji Umetani, Yoshinobu Kawahara (Osaka Univ./RIKEN)
The submodular function maximization is an attractive optimization model that appears in many real applications.
Altho... [more]
IBISML2018-68
pp.183-190
PRMU 2015-12-21
14:10
Nagano   [Special Talk] Pattern Recognition with Submodular Functions
Yoshinobu Kawahara (Osaka Univ.)
 [more]
IBISML 2014-03-07
13:30
Nara Nara Women's University [Invited Talk] A Brief Introduction to Machine Learning with Submodular Functions and Recent Trends
Yoshinobu Kawahara (Osaka Univ.)
Submodularity is known to be an analogous concept for a set function of convexity in a continuous function. Recently, it... [more] IBISML2013-78
pp.87-88
IBISML 2014-03-07
16:20
Nara Nara Women's University Binary Principal Points Based on Subgradient Method and Its Application
Haruka Yamashita (Keio Univ.), Yoshinobu Kawahara (Osaka Univ.)
Analysis with Principal Points is a useful statistical tool for summarizing large data. Principal Points is defined as s... [more] IBISML2013-82
pp.109-115
IBISML 2012-11-07
15:30
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. Weighted Likelihood Policy Search
Tsuyoshi Ueno (JST), Kohei Hayashi (UT), Takashi Washio, Yoshinobu Kawahara (OU)
 [more] IBISML2012-57
pp.165-170
IBISML 2011-11-09
15:45
Nara Nara Womens Univ. Prismatic algorithm for discrete D.C. programming problem
Yoshinobu Kawahara, Takashi Washio (Osaka Univ.)
In this paper, we propose the first exact algorithm for minimizing the difference of two submodular functions (D.S.), {\... [more] IBISML2011-56
pp.93-98
IBISML 2011-11-10
15:45
Nara Nara Womens Univ. A Method for Estimating Binary Data Generating Process
Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki (Osaka Univ.), Akihiro Yamamoto (Kyoto Univ.), Yoshinobu Kawahara (Osaka Univ.)
In our previous study, we proposed a method to identify a data generation process governing its given binary data set. H... [more] IBISML2011-65
pp.155-162
IBISML 2011-03-28
16:50
Osaka Nakanoshima Center, Osaka Univ. Enumerating Feature-Sets with Submodularity
Yoshinobu Kawahara (Osaka Univ.), Koji Tsuda (AIST), Takashi Washio (Osaka Univ.), Akiko Takeda (Keio Univ.), Shin-ichi Minato (Hokkaido Univ.)
Selecting relevant features is a fundamental task in machine learning. Although many approaches have been investigated s... [more] IBISML2010-113
pp.63-68
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