ACML 2011

23 papers

A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications Kun Zhang, Aapo Hyvärinen

Acceleration Technique for Boosting Classification and Its Application to Face Detection Masanori Kawakita, Ryota Izumi, Jun'ichi Takeuchi, Yi Hu, Tetsuya Takamori, Hirokazu Kameyama

Approximate Model Selection for Large Scale LSSVM Lizhong Ding, Shizhong Liao

Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo Masakuzu Ishihata, Taisuke Sato

Computationally Efficient Sufficient Dimension Reduction via Squared-Loss Mutual Information Makoto Yamada, Gang Niu, Jun Takagi, Masashi Sugiyama

Continuous Rapid Action Value Estimates Adrien Couëtoux, Mario Milone, Mátyás Brendel, Hassan Doghmen, Michèle Sebag, Olivier Teytaud

Estimating Diffusion Probability Changes for AsIC-SIS Model from Information Diffusion Results Akihiro Koide, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda

Improving Policy Gradient Estimates with Influence Information Jervis Pinto, Alan Fern, Tim Bauer, Martin Erwig

Learning Attribute-Weighted Voter Model over Social Networks Yuki Yamagishi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda

Learning Low-Rank Output Kernels Francesco Dinuzzo, Kenji Fukumizu

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

Learning to Locate Relative Outliers Shukai Li, Ivor W. Tsang

Mapping Kernels Defined over Countably Infinite Mapping Systems and Their Application Kilho Shin

Microbagging Estimators: An Ensemble Approach to Distance-Weighted Classifiers Blaine Nelson, Battista Biggio, Pavel Laskov

Mixed-Variate Restricted Boltzmann Machines Truyen Tran, Dinh Phung, Svetha Venkatesh

Multi-Label Active Learning with Auxiliary Learner Chen-Wei Hung, Hsuan-Tien Lin

Multi-Label Classification with Error-Correcting Codes Chung-Sung Ferng, Hsuan-Tien Lin

Nonlinear Online Classification Algorithm with Probability Margin Mingmin Chi, Huijun He, Wenqiang Zhang

Quadratic Weighted Automata:Spectral Algorithm and Likelihood Maximization Raphael Bailly

Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets Sainbaya Sukhbaatar, Takaki Makino, Kazuyuki Aihara, Takashi Chikayama

Summarization of Yes/No Questions Using a Feature Function Model Jing He, Decheng Dai

Support Vector Machines Under Adversarial Label Noise Battista Biggio, Blaine Nelson, Pavel Laskov

Unsupervised Multiple Kernel Learning Jinfeng Zhuang, Jialei Wang, Steven C. H. Hoi, Xiangyang Lan