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ORCID6. ACML 2014: Nha Trang City, Vietnam
- Dinh Q. Phung, Hang Li:
Proceedings of the Sixth Asian Conference on Machine Learning, ACML 2014, Nha Trang City, Vietnam, November 26-28, 2014. JMLR Workshop and Conference Proceedings 39, JMLR.org 2014
Preface
- Dinh Q. Phung, Hang Li:
Preface.
Accepted Papers
- Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo:
Theoretical Analyses on Ensemble and Multiple Kernel Regressors. - Ke Sun, Hisham Mohamed, Stéphane Marchand-Maillet:
Sparsity on Statistical Simplexes and Diversity in Social Ranking. - Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang:
Support vector machines with indefinite kernels. - Olivier Canévet, François Fleuret:
Efficient Sample Mining for Object Detection. - Olivier Canévet, Leonidas Lefakis, François Fleuret:
Sample Distillation for Object Detection and Image Classification. - Khoat Than, Tung Doan:
Dual online inference for latent Dirichlet allocation. - Takaaki Tagawa, Yukihiro Tadokoro, Takehisa Yairi:
Structured Denoising Autoencoder for Fault Detection and Analysis. - Arto Klami:
Polya-gamma augmentations for factor models. - Keigo Kimura, Yuzuru Tanaka, Mineichi Kudo:
A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization. - Kar Wai Lim, Wray L. Buntine:
Bibliographic Analysis with the Citation Network Topic Model. - Arash Givchi, Maziar Palhang:
Quasi Newton Temporal Difference Learning. - David Auger, Jialin Liu, Sylvie Ruette, David Lupien St-Pierre, Olivier Teytaud:
Sparse binary zero-sum games. - Kostiantyn Antoniuk, Vojtech Franc, Václav Hlavác:
Interval Insensitive Loss for Ordinal Classification. - Hanchen Xiong, Sándor Szedmák, Justus H. Piater:
Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte Carlo. - Xiao-Lei Zhang:
Nonlinear Dimensionality Reduction of Data by Deep Distributed Random Samplings. - Yue Zhu, Jianxin Wu, Yuan Jiang, Zhi-Hua Zhou:
Learning with Augmented Multi-Instance View. - Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto, Koji Tsuda:
Online matrix prediction for sparse loss matrices. - Jing Lu, Peilin Zhao, Steven C. H. Hoi:
Online Passive Aggressive Active Learning and Its Applications. - Shaowu Liu, Truyen Tran, Gang Li:
Ordinal Random Fields for Recommender Systems. - Mayank Daswani, Peter Sunehag, Marcus Hutter:
Reinforcement learning with value advice. - Atsuyoshi Nakamura:
A UCB-Like Strategy of Collaborative Filtering. - Young-Jun Ko, Mohammad Emtiyaz Khan:
Variational Gaussian Inference for Bilinear Models of Count Data. - Ku-Chun Chou, Hsuan-Tien Lin, Chao-Kai Chiang, Chi-Jen Lu:
Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions. - Mariana Oliveira, Luís Torgo:
Ensembles for Time Series Forecasting. - Hsuan-Tien Lin:
Reduction from Cost-Sensitive Multiclass Classification to One-versus-One Binary Classification.
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