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Volume 39: Asian Conference on Machine Learning, 26-28 November 2014, Nha Trang City, Vietnam
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Editors: Dinh Phung, Hang Li
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Preface
Accepted Papers
Theoretical Analyses on Ensemble and Multiple Kernel Regressors
Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo;
PMLR 39:1-15
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Sparsity on Statistical Simplexes and Diversity in Social Ranking
Ke Sun, Hisham Mohamed, Stephane Marchand-Maillet;
PMLR 39:16-31
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Support vector machines with indefinite kernels
Ibrahim Alabdulmohsin, Xin Gao, Xiangliang Zhang Zhang;
PMLR 39:32-47
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Efficient Sample Mining for Object Detection
Olivier Canevet, Francois Fleuret;
PMLR 39:48-63
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Sample Distillation for Object Detection and Image Classification
Olivier Canevet, Leonidas Lefakis, Francois Fleuret;
PMLR 39:64-79
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Dual online inference for latent Dirichlet allocation
Khoat Than, Tung Doan;
PMLR 39:80-95
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Structured Denoising Autoencoder for Fault Detection and Analysis
Takaaki Tagawa, Yukihiro Tadokoro, Takehisa Yairi;
PMLR 39:96-111
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Polya-gamma augmentations for factor models
Arto Klami;
PMLR 39:112-128
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A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization
Keigo Kimura, Yuzuru Tanaka, Mineichi Kudo;
PMLR 39:129-141
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Bibliographic Analysis with the Citation Network Topic Model
Kar Wai Lim, Wray Buntine;
PMLR 39:142-158
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Quasi Newton Temporal Difference Learning
Arash Givchi, Maziar Palhang;
PMLR 39:159-172
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Sparse binary zero-sum games
David Auger, Jianlin Liu, Sylkvie Ruette, David Saint-Pierre, Oliver Teytaud;
PMLR 39:173-188
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Interval Insensitive Loss for Ordinal Classification
Kostiantyn Antoniuk, Vojtech Franc, Vaclav Hlavac;
PMLR 39:189-204
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Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte Carlo
Hanchen Xiong, Sandor Szedmak, Justus Piater;
PMLR 39:205-220
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Nonlinear Dimensionality Reduction of Data by Deep Distributed Random Samplings
Xiao-Lei Zhang;
PMLR 39:221-233
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Learning with Augmented Multi-Instance View
Yue Zhu, Jianxin Wu, Yuan Jiang, Zhi-Hua Zhou;
PMLR 39:234-249
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Online matrix prediction for sparse loss matrices
Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto, Koji Tsuda;
PMLR 39:250-265
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Online Passive Aggressive Active Learning and Its Applications
Jing Lu, Peilin Zhao, Steven Hoi;
PMLR 39:266-282
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Ordinal Random Fields for Recommender Systems
Shaowu Liu, Truyen Tran, Gang Li;
PMLR 39:283-298
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Reinforcement learning with value advice
Mayank Daswani, Peter Sunehag, Marcus Hutter;
PMLR 39:299-314
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A UCB-Like Strategy of Collaborative Filtering
Atsuyoshi Nakamura;
PMLR 39:315-329
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Variational Gaussian Inference for Bilinear Models of Count Data
Young-Jun Ko, Mohammad Khan;
PMLR 39:330-343
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Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions
Ku-Chun Chou, Hsuan-Tien Lin, Chao-Kai Chiang, Chi-Jen Lu;
PMLR 39:344-359
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Ensembles for Time Series Forecasting
Mariana Oliveira, Luis Torgo;
PMLR 39:360-370
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Reduction from Cost-Sensitive Multiclass Classification to One-versus-One Binary Classification
Hsuan-Tien Lin;
PMLR 39:371-386
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