Volume 20: Asian Conference on Machine Learning, 14-15 November 2011, South Garden Hotels and Resorts, Taoyuan, Taiwain


Editors: Chun-Nan Hsu, Wee Sun Lee





Chun-Nan Hsu, Wee Sun Lee ; PMLR 20:i-xii

Accepted Papers

Improving Policy Gradient Estimates with Influence Information

Jervis Pinto, Alan Fern, Tim Bauer, Martin Erwig ; PMLR 20:1-18

Continuous Rapid Action Value Estimates

Adrien Couëtoux, Mario Milone, Mátyás Brendel, Hassan Doghmen, Michèle Sebag, Olivier Teytaud ; PMLR 20:19-31

Nonlinear Online Classification Algorithm with Probability Margin

Mingmin Chi, Huijun He, Wenqiang Zhang ; PMLR 20:33-46

Learning to Locate Relative Outliers

Shukai Li, Ivor W. Tsang ; PMLR 20:47-62

Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers

Blaine Nelson, Battista Biggio, Pavel Laskov ; PMLR 20:63-79

Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo

Masakuzu Ishihata, Taisuke Sato ; PMLR 20:81-96

Support Vector Machines Under Adversarial Label Noise

Battista Biggio, Blaine Nelson, Pavel Laskov ; PMLR 20:97-112

A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications

Kun Zhang, Aapo Hyvärinen ; PMLR 20:113-128

Unsupervised Multiple Kernel Learning

Jinfeng Zhuang, Jialei Wang, Steven C. H. Hoi, Xiangyang Lan ; PMLR 20:129-144

Quadratic Weighted Automata:Spectral Algorithm and Likelihood Maximization

Raphael Bailly ; PMLR 20:147-163

Approximate Model Selection for Large Scale LSSVM

Lizhong Ding, Shizhong Liao ; PMLR 20:165-180

Learning low-rank output kernels

Francesco Dinuzzo, Kenji Fukumizu ; PMLR 20:181-196

Learning Rules from Incomplete Examples via Implicit Mention Models

Janardhan Rao Doppa, Mohammad Shahed Sorower, Mohammad Nasresfahani, Jed Irvine, Walker Orr, Thomas G. Dietterich, Xiaoli Fern, Prasad Tadepalli ; PMLR 20:197-212

Mixed-Variate Restricted Boltzmann Machines

Truyen Tran, Dinh Phung, Svetha Venkatesh ; PMLR 20:213-229

Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets

Sainbaya Sukhbaatar, Takaki Makino, Kazuyuki Aihara, Takashi Chikayama ; PMLR 20:231-246

Computationally Efficient Sufficient Dimension Reduction via Squared-Loss Mutual Information

Makoto Yamada, Gang Niu, Jun Takagi, Masashi Sugiyama ; PMLR 20:247-262

Learning Attribute-weighted Voter Model over Social Networks

Yuki Yamagishi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda ; PMLR 20:263-280

Multi-label Classification with Error-correcting Codes

Chung-Sung Ferng, Hsuan-Tien Lin ; PMLR 20:281-295

Estimating Diffusion Probability Changes for AsIC-SIS Model from Information Diffusion Results

Akihiro Koide, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda ; PMLR 20:297-313

Multi-label Active Learning with Auxiliary Learner

Chen-Wei Hung, Hsuan-Tien Lin ; PMLR 20:315-332

Acceleration Technique for Boosting Classification and its Application to Face Detection

Masanori Kawakita, Ryota Izumi, Jun'ichi Takeuchi, Yi Hu, Tetsuya Takamori, Hirokazu Kameyama ; PMLR 20:335-349

Summarization of Yes/No Questions Using a Feature Function Model

Jing He, Decheng Dai ; PMLR 20:351-366

Mapping Kernels Defined Over Countably Infinite Mapping Systems and their Application

Kilho Shin ; PMLR 20:367-382

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