IEICE Technical Report

Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380

Infomation-Based Induction Sciences and Machine Learning

Workshop Date : 2013-07-18 / Issue Date : 2013-07-11

IBISML2013-1
The Universal Bayesian Measures
Joe Suzuki (Osaka Univ.)
pp. 1 - 6

IBISML2013-2
Clustering Unclustered Data -- Unsupervised Binary Labeling of Two Datasets Having Different Class Balances --
Marthinus Christoffel du Plessis, Masashi Sugiyama (TokyoTech)
pp. 7 - 14

IBISML2013-3
Direct Approximation of Quadratic Mutual Information and Its Application to Dependence-Maximization Clustering
Janya Sainui, Masashi Sugiyama (TokyoTech)
pp. 15 - 18

IBISML2013-4
Online learning from Crowds
Tran Quang Khai, Jun Sakuma (Univ. of Tsukuba)
pp. 19 - 26

IBISML2013-5
Estimation of Local Coordinates in Low Dimensional Subspace based on Semi-Supervised Learning with Order Constraints -- Local Coordinate Extraction from Optical Hyperspectral Data of Vegetation --
Kuniaki Uto (Tokyo Tech.)
pp. 27 - 34

IBISML2013-6
A Simultaneous Completion Method for Multiple Relational Data
Yutaka Ieiri, Hisashi Kashima (Univ. Tokyo)
pp. 35 - 41

IBISML2013-7
An improvement of a Neutrality Term in an Information-neutral Recommender System
Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh (AIST), Jun Sakuma (Univ. of Tsukuba)
pp. 43 - 50

IBISML2013-8
Detection of abnormal data based on linear classifiers using local coordinates on a normal class -- Tree disease detection in hyperspectral forest images --
Kuniaki Uto (Tokyo Tech.)
pp. 51 - 58

IBISML2013-9
Pairwise Co-link Propagation Kernel
Satoshi Hasegawa, Jun Sakuma (Univ. of Tsukuba)
pp. 59 - 66

IBISML2013-10
Privacy-preserving Online Logistic Regression Based on Homomorphic Encryption
Shuang Wu, Junpei Kawamoto (Univ. of Tsukuba), Hiroaki Kikuchi (Meiji Univ.), Jun Sakuma (Univ. of Tsukuba)
pp. 67 - 74

IBISML2013-11
Computer aided image diagnosis system using artificial intelligence for X-ray CT image
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.)
pp. 75 - 80

IBISML2013-12
Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation
Song Liu (Tokyo Tech.), John A. Quinn (Makerere Univ.), Michael U. Gutmann (Univ. of Helsinki), Masashi Sugiyama (Tokyo Tech.)
pp. 81 - 88

Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan