ACML C

31 papers

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