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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2020-10-21
Online Online IBISML2020-25 Analysis and prediction of dynamic processes using data are fundamental in a variety of scientific and industrial fields... [more] IBISML2020-25
IBISML 2018-11-05
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.) IBISML2018-67
The development of a metric for structural data is a long-term problem in pattern recognition and machine learning. In t... [more] IBISML2018-67
IBISML 2018-11-05
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) IBISML2018-68
The submodular function maximization is an attractive optimization model that appears in many real applications.
Altho... [more]
PRMU 2015-12-21
Nagano   [Special Talk] Pattern Recognition with Submodular Functions
Yoshinobu Kawahara (Osaka Univ.)
IBISML 2014-03-07
Nara Nara Women's University [Invited Talk] A Brief Introduction to Machine Learning with Submodular Functions and Recent Trends
Yoshinobu Kawahara (Osaka Univ.) IBISML2013-78
Submodularity is known to be an analogous concept for a set function of convexity in a continuous function. Recently, it... [more] IBISML2013-78
IBISML 2014-03-07
Nara Nara Women's University Binary Principal Points Based on Subgradient Method and Its Application
Haruka Yamashita (Keio Univ.), Yoshinobu Kawahara (Osaka Univ.) IBISML2013-82
Analysis with Principal Points is a useful statistical tool for summarizing large data. Principal Points is defined as s... [more] IBISML2013-82
IBISML 2012-11-07
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. Weighted Likelihood Policy Search
Tsuyoshi Ueno (JST), Kohei Hayashi (UT), Takashi Washio, Yoshinobu Kawahara (OU) IBISML2012-57
 [more] IBISML2012-57
IBISML 2011-11-09
Nara Nara Womens Univ. Prismatic algorithm for discrete D.C. programming problem
Yoshinobu Kawahara, Takashi Washio (Osaka Univ.) IBISML2011-56
In this paper, we propose the first exact algorithm for minimizing the difference of two submodular functions (D.S.), {\... [more] IBISML2011-56
IBISML 2011-11-10
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.) IBISML2011-65
In our previous study, we proposed a method to identify a data generation process governing its given binary data set. H... [more] IBISML2011-65
IBISML 2011-03-28
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.) IBISML2010-113
Selecting relevant features is a fundamental task in machine learning. Although many approaches have been investigated s... [more] IBISML2010-113
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