Papers
Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering
Yang Wang, Wenjie Zhang, Lin Wu et al.
Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems
Xuezhi Wang, Junier B. Oliva, Jeff Schneider et al.
Constrained Preference Embedding for Item Recommendation
Xin Wang, Congfu Xu, Yunhui Guo et al.
Learning First-Order Logic Embeddings via Matrix Factorization
William Yang Wang, William W. Cohen
Coupled Marginalized Auto-Encoders for Cross-Domain Multi-View Learning
Shuyang Wang, Zhengming Ding, Yun Fu
Dealing with Multiple Classes in Online Class Imbalance Learning
Shuo Wang, Leandro L. Minku, Xin Yao
Cost-Saving Effect of Crowdsourcing Learning
Lu Wang, Zhi-Hua Zhou
Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering
De Wang, Feiping Nie, Heng Huang
Generalized Dictionary for Multitask Learning with Boosting
Boyu Wang, Joelle Pineau
Policy Search in Reproducing Kernel Hilbert Space
Ngo Anh Vien, Peter Englert, Marc Toussaint
Dynamic Early Stopping for Naive Bayes
Aäron Verachtert, Hendrik Blockeel, Jesse Davis
Inference Machines for Nonparametric Filter Learning
Arun Venkatraman, Wen Sun, Martial Hebert et al.
Constructive Preference Elicitation by Setwise Max-Margin Learning
Stefano Teso, Andrea Passerini, Paolo Viappiani
Learning Using Unselected Features (LUFe)
Joseph G. Taylor, Viktoriia Sharmanska, Kristian Kersting et al.
A Novel Feature Matching Strategy for Large Scale Image Retrieval
Hao Tang, Hong Liu
Learning Compact Neural Word Embeddings by Parameter Space Sharing
Jun Suzuki, Masaaki Nagata
Supervised Heterogeneous Domain Adaptation via Random Forests
Sanatan Sukhija, Narayanan C Krishnan, Gurkanwal Singh
Distance Based Modeling of Interactions in Structured Regression
Ivan Stojkovic, Vladisav Jelisavcic, Veljko Milutinovic et al.
Unsupervised Alignment of Actions in Video with Text Descriptions
Young Chol Song, Iftekhar Naim, Abdullah Al Mamun et al.
Fast Structural Binary Coding
Dongjin Song, Wei Liu, David A. Meyer
Improving CNN Performance with Min-Max Objective
Weiwei Shi, Yihong Gong, Jinjun Wang
Diversifying Convex Transductive Experimental Design for Active Learning
Lei Shi, Yi-Dong Shen
Adaptive Variance Reducing for Stochastic Gradient Descent
Zebang Shen, Hui Qian, Tengfei Zhou et al.
Portfolio Blending via Thompson Sampling
Weiwei Shen, Jun Wang