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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML)  (Searched in: 2015)

Search Results: Keywords 'from:2016-03-17 to:2016-03-17'

[Go to Official IBISML Homepage] 
Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2016-03-17
13:00
Tokyo Institute of Statistical Mathematics Collaborative ranking based on relative preference
Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto (Kyushu Univ.) IBISML2015-94
We consider a collaborative filtering problem with pairwise preference information. In this setting, the algorithm recei... [more] IBISML2015-94
pp.1-8
IBISML 2016-03-17
13:25
Tokyo Institute of Statistical Mathematics Max-Margin Latent Feature Relational Models with Dual Decomposition for Relational Attribute Prediction
Tsubasa Nishide, Koji Eguchi (Kobe Univ.) IBISML2015-95
(To be available after the conference date) [more] IBISML2015-95
pp.9-16
IBISML 2016-03-17
13:50
Tokyo Institute of Statistical Mathematics Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds
Mina Ashizawa (UTokyo), Hiroaki Sasaki (NAIST), Tomoya Sakai, Masashi Sugiyama (UTokyo) IBISML2015-96
 [more] IBISML2015-96
pp.17-24
IBISML 2016-03-17
15:45
Tokyo Institute of Statistical Mathematics Learning and Generalization in Neural Networks using Hamiltonian Monte Carlo Method
Fumito Nakamura, Sumio Watanabe (Tokyo Tech) IBISML2015-97
 [more] IBISML2015-97
pp.25-29
IBISML 2016-03-17
16:10
Tokyo Institute of Statistical Mathematics Bayesian Monte-Carlo tree search method and its application to linear constrained nonlinear control problems
Ryo Otsuki, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) IBISML2015-98
For the nonlinear dynamics where the state transition is nonlinear with respect to the input, in general, we cannot obta... [more] IBISML2015-98
pp.31-38
IBISML 2016-03-18
10:00
Tokyo Institute of Statistical Mathematics An Efficient Tensor Spectral Algorithm for Learning Rank Deficient Co-cluster Structure from Large Scale Relational Data
Hideo Umetani, Iku Ohama (Panasonic Co., Ltd) IBISML2015-99
The Stochastic Block Model (SBM) is a well-known relational model for discovering co-cluster structure from relational d... [more] IBISML2015-99
pp.39-46
IBISML 2016-03-18
10:25
Tokyo Institute of Statistical Mathematics Entropy Estimator Based on Polynomial Regression with Poisson Error Structure
Hideitsu Hino (Univ. of Tsukuba), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.) IBISML2015-100
 [more] IBISML2015-100
pp.47-53
IBISML 2016-03-18
11:05
Tokyo Institute of Statistical Mathematics Block-sparse Extensions of Recovery Conditions of Overcomplete Dictionaries
Yasushi Terazono, Kenji Yamanishi (UTokyo) IBISML2015-101
In overcomplete dictionary learning problems, observed data are modeled as products of overcomplete dictionaries and spa... [more] IBISML2015-101
pp.55-58
IBISML 2016-03-18
11:30
Tokyo Institute of Statistical Mathematics Dimension Estimation of Topological Manifolds based on Measure of Simplexes and Application to Manifold Learning
Hajime Tasaki, Jinhui Chao (Chuo Univ.) IBISML2015-102
Dimension reduction is one of the most important issues in machine learning and computational intelligence for reduction... [more] IBISML2015-102
pp.59-62
 Results 1 - 9 of 9  /   
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