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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, IPSJ-BIO, IBISML, IPSJ-MPS
(Joint) [detail]
2015-06-25
09:30
Okinawa Okinawa Institute of Science and Technology Online Density Estimation of Bradley-Terry Models
Issei Matsumoto (Toyota), Kohei Hatano, Eiji Takimoto (Kyushu U.) IBISML2015-21
We consider an online density estimation problem for Bradley-Terry models that determine the probability of a match resu... [more] IBISML2015-21
pp.173-180
IBISML 2015-03-06
11:00
Kyoto Kyoto University Asymptotic Properties of Area Under the ROC Curve via Likelihood Ratio Based Ranking Function
Kentaro Nakanishi, Toshiyuki Tanaka (Kyoto Univ.), Naonori Ueda (NTT) IBISML2014-92
We study properties of the area under the ROC curve, which is one of measures to evaluate performance of a binary classi... [more] IBISML2014-92
pp.55-62
CQ 2014-07-10
11:15
Osaka   Analysis of the Robustness of Degree Centrality against Random Errors in Graphs
Sho Tsugawa (Univ. of Tsukuba), Hiroyuki Ohsaki (Kwansei Gakuin Univ.) CQ2014-18
Network analyses, which analyze the topological structure of large-scale complex networks such as social networks, brain... [more] CQ2014-18
pp.19-24
IBISML 2014-03-07
10:05
Nara Nara Women's University Online Prediction with Bradley-Terry Models and Logistic Models
Issei Matsumoto, Kohei Hatano, Eiji Takimoto (Kyushu Univ) IBISML2013-74
We consider an online density estimation problem under the Bradley-Terry model which determines the probability of the o... [more] IBISML2013-74
pp.55-62
IBISML 2013-11-12
15:45
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Support vector comparison machines
Toby Dylan Hocking, Supaporn Spanurattana, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2013-51
In ranking problems, the goal is to learn a ranking function
$r(x)inRR$ from labeled pairs $x,x'$ of input points. In... [more]
IBISML2013-51
pp.115-121
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Learning Evaluation Functions for Shogi Using SVM-based Bipartite Ranking Learning
Daiki Suehiro, Kohei Hatano, Hideo Bannai, Eiji Takimoto, Masayuki Takeda (Kyushu Univ.) IBISML2010-74
Recently, automatic optimization of parameters by applying machine learning methods has become a mainstream approach for... [more] IBISML2010-74
pp.113-118
COMP 2005-09-15
16:35
Osaka Osaka Univ., Toyonaka Campus How Easy to Learn Linear Ranking Functions
Atsuyoshi Nakamura (Hokkaido Univ.)
In this paper, we study how easy to learn the class of {\em linear ranking functions}
from $n$-dimensional Euclidean sp... [more]
COMP2005-35
pp.49-53
 Results 1 - 7 of 7  /   
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