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