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• Sparse Matrix-Variate t Process Blockmodels

  Zenglin Xu, Feng Yan, Yuan Qi

  543-548

  2011-08-04

• Learning Structured Embeddings of Knowledge Bases

  Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio

  301-306

  2011-08-04

• Transfer Latent Semantic Learning: Microblog Mining with Less Supervision

  Dan Zhang, Yan Liu, Richard Lawrence, Vijil Chenthamarakshan

  561-566

  2011-08-04

• Item-Level Social Influence Prediction with Probabilistic Hybrid Factor Matrix Factorization

  Peng Cui, Fei Wang, Shiqiang Yang, Lifeng Sun

  331-336

  2011-08-04

• Learning a Kernel for Multi-Task Clustering

  Quanquan Gu, Zhenhui Li, Jiawei Han

  368-373

  2011-08-04

• A Fast Spectral Relaxation Approach to Matrix Completion via Kronecker Products

  Hui Zhao, Jiuqiang Han, Naiyan Wang, Congfu Xu, Zhihua Zhang

  580-585

  2011-08-04

• Localized K-Flats

  Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou

  525-530

  2011-08-04

• Unsupervised Learning of Human Behaviours

  Sook-Ling Chua, Stephen Marsland, Hans Guesgen

  319-324

  2011-08-04

• OASIS: Online Active Semi-Supervised Learning

  Andrew Goldberg, Xiaojin Zhu, Alex Furger, Jun-Ming Xu

  362-367

  2011-08-04

• Multi-Task Learning in Heterogeneous Feature Spaces

  Yu Zhang, Dit-Yan Yeung

  574-579

  2011-08-04

• Transfer Learning by Structural Analogy

  Huayan Wang, Qiang Yang

  513-518

  2011-08-04

• A Generalised Solution to the Out-of-Sample Extension Problem in Manifold Learning

  Harry Strange, Reyer Zwiggelaar

  471-476

  2011-08-04

• Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation

  Marion Neumann, Babak Ahmadi, Kristian Kersting

  447-452

  2011-08-04

• Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis

  Makoto Yamada, Masashi Sugiyama

  549-554

  2011-08-04

• Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification

  Kyoungup Park, Chunhua Shen, Zhihui Hao, Junae Kim

  453-458

  2011-08-04

• Value Function Approximation in Reinforcement Learning Using the Fourier Basis

  George Konidaris, Sarah Osentoski, Philip Thomas

  380-385

  2011-08-04

• Size Adaptive Selection of Most Informative Features

  Si Liu, Hairong Liu, Longin Jan Latecki, Shuicheng Yan, Changsheng Xu, Hanqing Lu

  392-397

  2011-08-04

• Towards Maximizing the Area Under the ROC Curve for Multi-Class Classification Problems

  Ke Tang, Rui Wang, Tianshi Chen

  483-488

  2011-08-04

• Large Scale Spectral Clustering with Landmark-Based Representation

  Xinlei Chen, Deng Cai

  313-318

  2011-08-04

• Collaborative Users’ Brand Preference Mining across Multiple Domains from Implicit Feedbacks

  Jian Tang, Jun Yan, Lei Ji, Ming Zhang, Shaodan Guo, Ning Liu, Xianfang Wang, Zheng Chen

  477-482

  2011-08-04

• Multi-Task Learning in Square Integrable Space

  Wei Wu, Hang Li, Yunhua Hu, Rong Jin

  537-542

  2011-08-04

• Symmetric Graph Regularized Constraint Propagation

  Zhenyong Fu, Zhiwu Lu, Horace Ip, Yuxin Peng, Hongtao Lu

  350-355

  2011-08-04

• Adaptive Large Margin Training for Multilabel Classification

  Yuhong Guo, Dale Schuurmans

  374-379

  2011-08-04

• Latent Semantic Learning by Efficient Sparse Coding with Hypergraph Regularization

  Zhiwu Lu, Yuxin Peng

  411-416

  2011-08-04

• Fast Newton-CG Method for Batch Learning of Conditional Random Fields

  Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Okazaki

  489-494

  2011-08-04