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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML) (Searched in: 2014)
Search Results: Keywords 'from:2014-11-17 to:2014-11-17'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Target Shift Adaptation for Conditional Density Estimation and Regression Tuan Duong Nguyen (Tokyo Inst. of Tech.), Marthinus Christoffel du Plessis, Masashi Sugiyama (Univ. of Tokyo)  IBISML2014-55 |
We consider the problem of domain adaptation under target shift scenario, where the target marginal distributions p(y) d... [more] | IBISML2014-55 pp.155-160 |
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Training Algorithm for Restricted Boltzmann Machines Using Auxiliary Function Approach Norihiro Takamune (Univ. of Tokyo), Hirokazu Kameoka (Univ. of Tokyo/NTT) IBISML2014-56 |
Layerwise pre-training is one of important elements for deep learning, and Restricted Boltzmann Machines (RBMs) is popul... [more] | IBISML2014-56 pp.161-168 |
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Unified approach for auditory scene analysis based on multichannel factorial hidden Markov model Takuya Higuchi (Univ. of Tokyo), Hirokazu Kameoka (Univ. of Tokyo/NTT) IBISML2014-57 |
This paper deals with the problems of audio source separation, audio event detection, dereverberation and DOA estimation... [more] | IBISML2014-57 pp.169-176 |
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Regularized multi-task learning for multi-dimensional log-density gradient estimation Ikko Yamane (Tokyo Inst. of Tech.), Hiroaki Sasaki, Masashi Sugiyama (Univ. of Tokyo) IBISML2014-58 |
Log-density gradient estimation is a fundamental statistical problem and it has various practical applications such as c... [more] | IBISML2014-58 pp.177-183 |
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Online Direct Density-ratio Estimation under the Kullback-Leibler Loss Marthinus Christoffel du Plessis (Univ. of Tokyo), Hiroaki Shiino (Tokyo Inst. of Tech.), Masashi Sugiyama (Univ. of Tokyo) IBISML2014-59 |
(Advance abstract in Japanese is available) [more] | IBISML2014-59 pp.185-190 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
An Infinite Superimposed Discrete All-pole Model based on Gamma Processes for Music Signal Analysis Kazuyoshi Yoshii, Katsutoshi Itoyama (Kyoto Univ.), Masataka Goto (AIST) IBISML2014-60 |
This paper presents a probabilistic model that is used for decomposing music audio signals into the three elements of so... [more] | IBISML2014-60 pp.191-198 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
A note on least angle regression in orthogonal case Katsuyuki Hagiwara (Mie Univ.) IBISML2014-61 |
LARS(least angle regression) is one of the sparse modeling methods. This paper considered LARS in the case of orthogonal... [more] | IBISML2014-61 pp.199-206 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Denoising High-dimensional Sequences with the Bidirectional Recurrent Restricted Boltzmann Machine Shoken Kaneko (Yamaha Co.) IBISML2014-62 |
We propose a probabilistic neural network for modeling high-dimensional sequences with complex non-linearities. Our mod... [more] |
IBISML2014-62 pp.207-212 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Optimization Method of LASSO Hyperparameter using WAIC Dai Miyazaki, Sumio Watanabe (Tokyo Tech) IBISML2014-63 |
LASSO (Least Absolute Shrinkage and Selection Operator) was proposed as a regression method using a penalty term made of... [more] | IBISML2014-63 pp.213-218 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Asymptotic Analysis of Variational Bayesian Latent Dirichlet Allocation Shinichi Nakajima (TU Berlin), Issei Sato, Masashi Sugiyama (Univ. of Tokyo), Kazuho Watanabe (Toyohashi Univ. of Tech.), Hiroko Kobayashi (Nikon) IBISML2014-64 |
Latent Dirichlet allocation (LDA) is a popular generative model of various objects such as texts and images, where an ... [more] |
IBISML2014-64 pp.219-226 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Learning from Positive and Unlabeled Data 1: Classifier Training and Theoretical Analysis Marthinus Christoffel du Plessis (Univ. of Tokyo), Gang Niu (Baidu), Masashi Sugiyama (Univ. of Tokyo) IBISML2014-65 |
(Advance abstract in Japanese is available) [more] | IBISML2014-65 pp.227-233 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Learning from Positive and Unlabeled Data 2: Computationally Efficient Estimation of Class Priors Marthinus Christoffel du Plessis (Univ. of Tokyo), Gang Niu (Baidu), Masashi Sugiyama (Univ. of Tokyo) IBISML2014-66 |
(Advance abstract in Japanese is available) [more] | IBISML2014-66 pp.235-241 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Parallel Distributed Block Coordinate Descent Methods based on Pairwise Comparison Oracle Kota Matsui (Nagoya Inst. of Tech.), Wataru Kumagai (Kanagawa Univ.), Takafumi Kanamori (Nagoya Univ.) IBISML2014-67 |
This paper provides a block coordinate descent algorithm to solve unconstrained optimization prob- lems. In our algorith... [more] | IBISML2014-67 pp.243-250 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Robust Estimation under Heavy Contamination using Unnormalized Models Takafumi Kanamori (Nagoya Univ.), Hironori Fujisawa (ISM) IBISML2014-68 |
In data analysis, contamination caused by outliers is inevitable, and robust statistical methods are strongly demanded. ... [more] | IBISML2014-68 pp.251-258 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Unsupervised Dimension Reduction via Least-Squares Quadratic Mutual Information Janya Sainui (Tokyo Inst. of Tech.), Masashi Sugiyama (Univ. of Tokyo) IBISML2014-69 |
The goal of dimension reduction is to represent high-dimensional data in a lower-dimensional subspace, while intrinsic p... [more] | IBISML2014-69 pp.259-262 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Support consistency of direct sparse-change learning in Markov networks Song Liu, Taiji Suzuki (Tokyo Inst. of Tech.), Masashi Sugiyama (Univ. of Tokyo) IBISML2014-70 |
(Advance abstract in Japanese is available) [more] | IBISML2014-70 pp.263-269 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Coping with Class Balance Change in Classification : Class-Prior Estimation with Energy Distance Hideko Kawakubo (Tokyo Inst. of Tech.), Marthinus Christoffel du Plessis, Masashi Sugiyama (Univ. of Tokyo) IBISML2014-71 |
Due to sample selection bias or non-stationarity of the environment, the class balance often changes between training an... [more] | IBISML2014-71 pp.271-278 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Gauge Theory on Measure Space
-- tau-Information Geometry -- Masaru Tanaka (Fukuoka Univ.) IBISML2014-72 |
A new formulation of information geometry is given by extending a translation operation on an affine space of probabilit... [more] | IBISML2014-72 pp.279-286 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Combination of LSTM and CNN on recognizing mathematical symbols Hai Nguyen Dai, Anh Le Duc, Masaki Nakagawa (TUAT) IBISML2014-73 |
Combining classifiers is an approach that has been shown to be useful on numerous occasions when striving for further im... [more] | IBISML2014-73 pp.287-292 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
The method of clustering data on polar codinates Yuji Fujjiwara (INCT), Kazuhisa Fujita (INCT/UEC) IBISML2014-74 |
Clustering is used for various data analysis, for example, data mining, image processing and so on. Many methods of clus... [more] | IBISML2014-74 pp.293-297 |
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