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ORCID8. ACML 2016: Hamilton, New Zealand
- Robert J. Durrant, Kee-Eung Kim:
Proceedings of The 8th Asian Conference on Machine Learning, ACML 2016, Hamilton, New Zealand, November 16-18, 2016. JMLR Workshop and Conference Proceedings 63, JMLR.org 2016
Front Matter
- Preface. i-xiv
Accepted Papers
- Weizheng Chen, Xia Zhang, Jinpeng Wang, Yan Zhang, Hongfei Yan, Xiaoming Li:
Non-Linear Smoothed Transductive Network Embedding with Text Information. 1-16 - Xianghua Fu, Wangwang Liu, Yingying Xu, Chong Yu, Ting Wang:
Long Short-term Memory Network over Rhetorical Structure Theory for Sentence-level Sentiment Analysis. 17-32 - Xiaoyan Yang, Shanshan Ying, Wenzhe Yu, Rong Zhang, Zhenjie Zhang:
Enhancing Topic Modeling on Short Texts with Crowdsourcing. 33-48 - Khanh Nguyen, Trung Le, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung:
Multiple Kernel Learning with Data Augmentation. 49-64 - Doyen Sahoo, Steven C. H. Hoi, Peilin Zhao:
Cost Sensitive Online Multiple Kernel Classification. 65-80 - Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft:
Localized Multiple Kernel Learning - A Convex Approach. 81-96 - Linbo Qiao, Bofeng Zhang, Jinshu Su
, Xicheng Lu:
Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization. 97-109 - Romain Brault, Markus Heinonen, Florence d'Alché-Buc:
Random Fourier Features For Operator-Valued Kernels. 110-125 - Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada, Jun Sakuma, Ichiro Takeuchi:
Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization. 126-141 - Stéphan Clémençon, Patrice Bertail, Guillaume Papa:
Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers. 142-157 - Wei Gao, Xin-Yi Niu, Zhi-Hua Zhou:
Learnability of Non-I.I.D. 158-173 - Christian Walder:
Modelling Symbolic Music: Beyond the Piano Roll. 174-189 - Xianghua Fu, Ting Wang, Jing Li, Chong Yu, Wangwang Liu:
Improving Distributed Word Representation and Topic Model by Word-Topic Mixture Model. 190-205 - Sayantan Dasgupta:
Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees. 206-221 - Zheng Chen, Yong Zhang, Yue Shang, Xiaohua Hu:
Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews. 222-237 - Kar Wai Lim, Young Lee, Leif Hanlen, Hongbiao Zhao:
Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays. 238-253 - Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh:
A Bayesian Nonparametric Approach for Multi-label Classification. 254-269 - Haoli Bai, Zenglin Xu, Bin Liu, Yingming Li:
Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network. 270-285 - Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang:
Learning Feature Aware Metric. 286-301 - Ikko Yamane, Florian Yger, Maxime Berar, Masashi Sugiyama:
Multitask Principal Component Analysis. 302-317 - Henry Gouk, Bernhard Pfahringer, Michael J. Cree:
Learning Distance Metrics for Multi-Label Classification. 318-333 - Suresh Kirthi Kumaraswamy, P. S. Sastry, Kalpathi Ramakrishnan:
Bank of Weight Filters for Deep CNNs. 334-349 - Yuan Gao, Dorota Glowacka:
Deep Gate Recurrent Neural Network. 350-365 - Young-Jun Ko, Lucas Maystre, Matthias Grossglauser:
Collaborative Recurrent Neural Networks for Dynamic Recommender Systems. 366-381 - Diego Marron, Jesse Read, Albert Bifet, Talel Abdessalem, Eduard Ayguadé, José R. Herrero:
Echo State Hoeffding Tree Learning. 382-397 - Liyan Song, Haiping Lu:
Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA. 398-413 - Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen:
An Efficient Approach for Multi-Sentence Compression. 414-429 - Inbal Horev, Florian Yger, Masashi Sugiyama:
Geometry-aware stationary subspace analysis. 430-444 - Liyan Song, Haiping Lu:
EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator. 445-460
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