Accepted Papers

Papers (JMLR Workshop and Conference Proceedings, Volume 13)

Hierarchical Convex NMF for Clustering Massive Data
Kristian Kersting, Fraunhofer IAIS and University of Bonn; Mirwaes Wahabzada, Fraunhofer IAIS; Christian Thurau, Fraunhofer IAIS; Christian Bauckhage, Fraunhofer IAIS

Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering
Bo Dai, NLPR/LIAMA; Baogang Hu, NLPR/LIAMA

Efficient Collapsed Gibbs Sampling For Latent Dirichlet Allocation
Han Xiao, Technical University of Munich; Thomas Stibor, Technical University of Munich

Variational Relevance Vector Machine for Tabular Data
Dmitry Kropotov, Dorodnicyn Computing Centre; Dmitry Vetrov, Lomonosov Moscow State University; Lior Wolf, Tel Aviv University; Tal Hassner, The Open University of Israel

The Coding Divergence for Measuring the Complexity of Separating Two Sets
Mahito Sugiyama, Graduate School of Informatics; Akihiro Yamamoto, Graduate School of Informatics, Kyoto University

Exploiting the High Predictive Power of Multi-class Subgroups
Tarek Abudawood, University of Bristol; Peter Flach, University of Bristol

Pairwise Measures of Causal Direction in Linear Non-Gaussian Acyclic Models
Aapo Hyvarinen, University of Helsinki

Content-based Image Retrieval with Multinomial Relevance Feedback
Dorota Glowacka, University College London; John Shawe-Taylor, University College London

Adaptive Step-size Policy Gradients with Average Reward Metric
Takamitsu Matsubara, NAIST/ATR; Tetsuro Morimura, IBM Research; Jun Morimoto, ATR

Decision Tree for Dynamic and Uncertain Data Streams
Chunquan Liang, Northwest A&F University; Yang Zhang, Northwest A&F University; Qun Song, Northwest A&F University

Kernel-based Local Contraction for Semi-supervised Classification
Siming Wei, Zhejiang University; Yizhou Yu, University of Illinois at Urbana-Champaign

An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models
Masakazu Ishihata, Tokyo Institute of Technology; Yoshitaka Kameya, Tokyo Institute of Technology; Taisuke Sato, Tokyo Institute of Technology; Shin-ichi Minato, Hokkaido University

Single versus Multiple Sorting in All Pairs Similarity Search
Yasuo Tabei, JST Minato ERATO Project; Takeaki Uno, National Institute of Informatics (NII) of JAPAN; Masashi Sugiyama, Tokyo Institute of Technology; Koji Tsuda, National Institute of Advanced Industrial Science and Technology

Generative Models of Information Diffusion with Asynchronous Time-delay
Kazumi Saito, University of Shizuoka; Masahiro Kimura, Ryukoku University; Kouzou Ohara, Aoyama Gakuin University; Hiroshi Motoda, Osaka University

Mining Recurring Concept Drifts with Limited Labeled Streaming Data
Peipei Li, Hefei University of Technology; xindong Wu, University of Vermont; Xuegang Hu, Hefei University of Technology

Hierarchical Gaussian Process Regression
Sunho Park, PSTECH, Korea; Seungjin Choi, POSTECH

A Study of Approximate Inference in Probabilistic Relational Models
Fabian Kaelin, McGill; Doina Precup, McGill

Finite-sample Analysis of Bellman Residual Minimization
Odalric-Ambrym Maillard, INRIA; alessandro Lazaric, INRIA Lille Nord-Europe; Remi Munos, INRIA Lille Nord-Europe

Learning Polyhedral Classifiers Using Logistic Function
Naresh Manwani, IISc,Bangalore,India; P. S. Sastry, Indian Institute of Science, Bangalore

Multi-task Learning for Recommender System
Xia Ning, UMN; George Karypis, UMN

Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking
Albert Bifet, University of Waikato; Eibe Frank, University of Waikato; Geoff Holmes, University of Waikato; Bernhard Pfahringer, University of Waikato

Conceptual Imitation Learning: An Application to Human-robot Interaction
Hossein Hajimirsadeghi, University of Tehran; Majid Nili Ahmadabadi, ; Mostafa Ajallooeian, university of tehran; Babak Araabi, ECE Department, University of Tehran; Hadi Moradi, university of tehran

Ellipsoidal Support Vector Machines
Michinari Momma, NEC; Kohei Hatano, Kyushu University; Hiroki Nakayama, NEC