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3. ACML 2011: Taoyuan, Taiwan
- Chun-Nan Hsu, Wee Sun Lee:
Proceedings of the 3rd Asian Conference on Machine Learning, ACML 2011, Taoyuan, Taiwan, November 13-15, 2011. JMLR Proceedings 20, JMLR.org 2011 - Chun-Nan Hsu, Wee Sun Lee:
Preface. - Jervis Pinto, Alan Fern, Tim Bauer, Martin Erwig:
Improving Policy Gradient Estimates with Influence Information. 1-18 - Adrien Couëtoux, Mario Milone, Mátyás Brendel, Hassen Doghmen, Michèle Sebag, Olivier Teytaud:
Continuous RAVE. 19-31 - Mingmin Chi, Huijun He:
Nonlinear Online Classificatand Michion Algorithm with Probability Margin. 33-46 - Shukai Li, Ivor W. Tsang:
Learning to Locate Relative Outliers. 47-62 - Blaine Nelson, Battista Biggio, Pavel Laskov:
Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers. 63-79 - Masakazu Ishihata, Taisuke Sato:
Bayesian inference for statistical abduction using Markov chain Monte Carlo. 81-96 - Battista Biggio, Blaine Nelson, Pavel Laskov:
Support Vector Machines Under Adversarial Label Noise. 97-112 - Kun Zhang, Aapo Hyvärinen:
A General Linear Non-Gaussian State-Space Model. 113-128 - Jialei Wang, Jinfeng Zhuang, Steven C. H. Hoi:
Unsupervised Multiple Kernel Learning. 129-144 - Raphaël Bailly:
QWA: Spectral Algorithm. 147-163 - Lizhong Ding, Shizhong Liao:
Approximate Model Selection for Large Scale LSSVM. 165-180 - Francesco Dinuzzo, Kenji Fukumizu:
Learning low-rank output kernels. 181-196 - Janardhan Rao Doppa, Shahed Sorower, Mohammad NasrEsfahani, John Walker Orr, Thomas G. Dietterich, Xiaoli Z. Fern, Prasad Tadepalli, Jed Irvine:
Learning Rules from Incomplete Examples via Implicit Mention Models. 197-212 - Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Mixed-Variate Restricted Boltzmann Machines. 213-229 - Sainbayar Sukhbaatar, Takaki Makino, Kazuyuki Aihara, Takashi Chikayama:
Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets. 231-246 - Makoto Yamada, Gang Niu, Jun Takagi, Masashi Sugiyama:
Suffcient Component Analysis. 247-262 - Yuki Yamagishi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Learning Attribute-weighted Voter Model over Social Networks. 263-280 - Chun-Sung Ferng, Hsuan-Tien Lin:
Multi-label Classification with Error-correcting Codes. 281-295 - Akihiro Koide, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda:
Estimating Diffusion Probability Changes for AsIC-SIS Model. 297-313 - Chen-Wei Hung, Hsuan-Tien Lin:
Multi-label Active Learning with Auxiliary Learner. 315-332 - Masanori Kawakita, Ryota Izumi, Jun'ichi Takeuchi, Yi Hu, Tetsuya Takamori, Hirokazu Kameyama:
Acceleration technique for boosting classification and its application to face detection. 335-349 - Jing He, Decheng Dai:
Summarization of Yes/No Questions Using a Feature Function Model. 351-366 - Kilho Shin:
Mapping kernels for infinite mapping systems. 367-382
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