Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380
[TOP] | [2011] | [2012] | [2013] | [2014] | [2015] | [2016] | [2017] | [Japanese] / [English]
IBISML2014-85
[Invited Talk]
Detection of cheating in Boltzmann machine learning
-- A parameter-free algorithm to sparse solution --
Masayuki Ohzeki (KU)
pp. 1 - 8
IBISML2014-86
Bayes Projection of Conditional Normalized Maximum Likelihood Distributions in Poisson Model and Linear Regression Model
Mutsuki Kojima, Fumiyasu Komaki (UT)
pp. 9 - 15
IBISML2014-87
A Behavior of Stochastic Moving Multi-Agents
Futo Takiguchi, Naoki Sato, Isamu Shioya (Hosei Univ.)
pp. 17 - 21
IBISML2014-88
Soft-thresholding with scaling for non-parametric orthogonal regression problem
Katsuyuki Hagiwara (Mie Univ.)
pp. 23 - 30
IBISML2014-89
Adaptation of Machine Learning Method for Music Structure Analysis
Yoshiyuki Kushibe, Toshiaki Takita (Univ. of Tsukuba), Masatoshi Hamanaka (Kyoto Univ.), Sakurako Yazawa, Junichi Hoshino (Univ. of Tsukuba)
pp. 31 - 38
IBISML2014-90
Effects of Numerical Errors against Sample Mahalanobis Distances
Yasuyuki Kobayashi (Teikyo Univ.)
pp. 39 - 46
IBISML2014-91
Quality control in human-machine hybrid crowdsourcing
Toshihiro Watanabe (UTokyo), Toshinari Itoko, Shin Saito, Masatomo Kobayashi, Hironobu Takagi (IBM), Hisashi Kashima (Kyoto Univ.)
pp. 47 - 54
IBISML2014-92
Asymptotic Properties of Area Under the ROC Curve via Likelihood Ratio Based Ranking Function
Kentaro Nakanishi, Toshiyuki Tanaka (Kyoto Univ.), Naonori Ueda (NTT)
pp. 55 - 62
IBISML2014-93
[Invited Talk]
Applications of machine learning techniques in materials science based on systematic density-functional calculations
Atsuto Seko, Isao Tanaka (KU)
p. 63
IBISML2014-94
An Efficient Incremental-Decremental Data Filtering Method for Stream Learning
Kota Matsui, Saori Kurumi, Ichiro Takeuchi (Nitech)
pp. 65 - 71
IBISML2014-95
Recognition of daily-life actions by machine learning methods
Yu Kodama, Shigeyuki Oba, Shin Ishii (Kyoto Univ.)
pp. 73 - 78
IBISML2014-96
Model selection with approximate validation error guarantee for (L^2_2) regularized convex loss minimization problems
Atsushi Shibagaki, Yoshiki Suzuki, Ichiro Takeuchi (NIT)
pp. 79 - 86
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.