Papers
734 papers found
Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network
Haoli Bai, Zenglin Xu, Bin Liu et al.
Improving Distributed Word Representation and Topic Model by Word-Topic Mixture Model
Xianghua Fu, Ting Wang, Jing Li et al.
Learnability of Non-I.I.D.
Wei Gao, Xin-Yi Niu, Zhi-Hua Zhou
Learning Distance Metrics for Multi-Label Classification
Henry Gouk, Bernhard Pfahringer, Michael Cree
Learning Feature Aware Metric
Han-Jia Ye, De-Chuan Zhan, Xue-Min Si et al.
Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers
Stephan Clemencon, Patrice Bertail, Guillaume Papa
Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization
Linbo Qiao, Bofeng Zhang, Jinshu Su et al.
Localized Multiple Kernel Learning—A Convex Approach
Yunwen Lei, Alexander Binder, Urun Dogan et al.
Long Short-term Memory Network over Rhetorical Structure Theory for Sentence-level Sentiment Analysis
Xianghua Fu, Wangwang Liu, Yingying Xu et al.
Modelling Symbolic Music: Beyond the Piano Roll
Christian Walder
Multiple Kernel Learning with Data Augmentation
Khanh Nguyen, Trung Le, Vu Nguyen et al.
Multitask Principal Component Analysis
Ikko Yamane, Florian Yger, Maxime Berar et al.
Non-Linear Smoothed Transductive Network Embedding with Text Information
Weizheng Chen, Xia Zhang, Jinpeng Wang et al.
Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA
Liyan Song, Haiping Lu
Random Fourier Features For Operator-Valued Kernels
Romain Brault, Markus Heinonen, Florence Buc
Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization
Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada et al.
Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays
Kar Wai Lim, Young Lee, Leif Hanlen et al.
Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews
Zheng Chen, Yong Zhang, Yue Shang et al.
A Unified Framework for Jointly Learning Distributed Representations of Word and Attributes
Liqiang Niu, Xin-Yu Dai, Shujian Huang et al.
Autoencoder Trees
Ozan İrsoy, Ethem Alpaydin
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias
Yohei Kondo, Shin-ichi Maeda, Kohei Hayashi
Budgeted Bandit Problems with Continuous Random Costs
Yingce Xia, Wenkui Ding, Xu-Dong Zhang et al.
Class-prior Estimation for Learning from Positive and Unlabeled Data
Marthinus Christoffel, Gang Niu, Masashi Sugiyama
Consistency of structured output learning with missing labels
Kostiantyn Antoniuk, Vojtech Franc, Vaclav Hlavac