To appear in Machine Learning Journal

• Cost-sensitive learning based on Bregman divergences
  Raúl Santos-Rodríguez, Rocío Alaiz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro
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• On Structured Output Training: Hard Cases and an Efficient Alternative
  Thomas Gärtner, Shankar Vembu
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• A Self-Training Approach to Cost Sensitive Uncertainty Sampling
  Alexander Liu, Goo Jun, Joydeep Ghosh
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• Sparse Kernel SVMs via Cutting-Plane Training
  Thorsten Joachims, Chun-Nam Yu
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• Combining Instance-Based Learning and Logistic Regression for Multi-Label Classification
  Weiwei Cheng, Eyke Huellermeier
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• Hybrid Least-Squares Algorithms for Approximate Policy Evaluation
  Jeffrey Johns, Marek Petrik, Sridhar Mahadevan
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• Learning Multi-linear Representations of Distributions for Efficient Inference
  Dan Roth, Rajhans Samdani
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To appear in Data Mining and Knowledge Discovery Journal

• On Subgroup Discovery in Numerical Domains
  Henrik Grosskreutz, Stefan Rüping
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• Harnessing the Strengths of Anytime Algorithms for Constant Data Streams
  Philipp Kranen, Thomas Seidl
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• RTG: A Recursive Realistic Graph Generator using Random Typing
  Leman Akoglu, Christos Faloutsos
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• A Fast Ensemble Pruning Algorithm Based on Pattern Mining Process
  Qiang-Li Zhao, Yan-Huang Jiang, Ming Xu
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• Taxonomy-driven lumping for sequence mining
  Francesco Bonchi, Carlos Castillo, Debora Donato, Aristides Gionis
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• Identifying the Components
  Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
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• Two-Way Analysis of High-Dimensional Collinear Data
  Ilkka Huopaniemi,Tommi Suvitaival, Janne Nikkila, Matej Oresic, Samuel Kaski
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To appear in LNAI proceedings

• Active Learning for Reward Estimation in Inverse Reinforcement Learning
  Manuel Lopes, Francisco Melo, Luis Montesano
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• Active and Semi-supervised Data Domain Description
  Nico Goernitz, Marius Kloft, Ulf Brefeld
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• Feature Selection for Density Level-Sets
  Marius Kloft, Shinichi Nakajima, Ulf Brefeld
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• Leveraging Higher Order Dependencies Between Features for Text Classification
  Murat C. Ganiz, Nikita I. Lytkin, William M. Pottenger
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• Efficient Sample Reuse in EM-based Policy Search
  Hirotaka Hachiya, Jan Peters, Masashi Sugiyama
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• Conference Mining via Generalized Topic Modeling
  Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
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• Relaxed Transfer of Different Classes via Spectral Partition
  Xiaoxiao Shi,Wei Fan, Qiang Yang, Jiangtao Ren
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• Universal Learning over Related Distributions and Adaptive Graph Transduction
  Erheng Zhong, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren
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• Reconstructing Data Perturbed by Random Projections when the Mixing Matrix is Known
  Yingpeng Sang, Hong Shen, Hui Tian
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• Enhancing the Performance of Centroid Classifier by ECOC and Model-Refinement
  Songbo Tan, Gaowei Wu, Xueqi Cheng
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• Transductive Classification via Dual Regularization
  Quanquan Gu, Jie Zhou
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• Non-Redundant Subgroup Discovery Using a Closure System
  Mario Boley, Henrik Grosskreutz
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• Kernel-based Copula Processes
  Sebastian Jaimungal, Eddie K. H. Ng
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• Max-Margin Weight Learning for Markov Logic Networks
  Tuyen N. Huynh, Raymond J. Mooney
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• Learning to Disambiguate Search Queries from Short Sessions
  Lilyana Mihalkova, Raymond Mooney
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• Semi-supervised Document Clustering with Simultaneous Text Representation and Categorization
  Yanhua Chen, Lijun Wang, Ming Dong
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• A Condensed Representation of Itemsets for Analyzing their Evolution over Time
  Mirko Boettcher, Martin Spott, Rudolf Kruse
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• Adaptive XML Tree Classification on Evolving Data Streams
  Albert Bifet, Ricard Gavaldà
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• Feature Selection for Value Function Approximation Using Bayesian Model Selection
  Tobias Jung, Peter Stone
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• Subspace Regularization: a New Semi-Supervised Learning Method
  Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-Lin Liu
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• An \ell_1 Regularization Framework for Optimal Rule Combination
  Yanjun Han, Jue Wang
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• Feature Selection by Transfer Learning with Linear Regularized Models
  Thibault Helleputte, Pierre Dupont
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• Boosting Active Learning to Optimality: a Tractable Monte-Carlo, Billiard-based Algorithm
  Philippe Rolet, Michèle Sebag, Olivier Teytaud
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• One Graph is Worth a Thousand Logs: Uncovering Hidden Structures in Massive System Event Logs
  Ira Cohen, Michal Aharon, Gilad Barash, Eli Mordechai
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• A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis
  Zhihua Zhang, Guang Dai, Michael Jordan
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• Optimal Online Learning Procedures for Model-Free Policy Evaluation
  Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii
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• Minimum Free Energy Principle for Constraint-Based Learning Bayesian Networks
  Takashi Isozaki, Maomi Ueno
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• Considering unseen states as impossible in Factored Reinforcement Learning
  Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillemin, Christophe Meyer
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• Classifier Chains for Multi-label Classification
  Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Eibe Frank
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• Mining Peculiar Compositions of Frequent Substrings from Sparse Text Data Using Background Texts
  Daisuke Ikeda, Einoshin Suzuki
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• Soft Margin Trees
  Jorge Díez, Juan José del Coz, Antonio Bahamonde, Oscar Luaces
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• Latent Dirichlet Bayesian Co-Clustering
  Pu Wang, Carlotta Domeniconi, Kathryn Blackmond Laskey
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• MACs: Multi-Attribute Co-Clusters with High Correlation Information
  Kelvin Sim, Vivekanand Gopalkrishnan, Hon Nian Chua, See-Kiong Ng
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• Efficient Pruning Schemes for Distance-Based Outlier Detection
  Hoang Vu Nguyen, Vivekanand Gopalkrishnan
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• Mining Databases to Mine Queries Faster
  Arno Siebes, Diyah Puspitaningrum
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• Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-Supervised Extension
  Yu Zhang, Dit-Yan Yeung
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• Communication-efficient Classification in P2P Networks
  Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Hoi Chu Hong
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• Semi-Supervised Multi-Task Regression
  Yu Zhang, Dit-Yan Yeung
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• Statistical Relational Learning with Formal Ontologies
  Achim Rettinger, Matthias Nickles,Volker Tresp
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• The Feature Importance Ranking Measure
  Alexander Zien, Nicole Krämer, Sören Sonnenburg, Gunnar Rätsch
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• Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification
  Sang-Hyeun Park, Johannes Fürnkranz
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• Integrating Logical Reasoning and Probabilistic Chain Graphs
  Arjen Hommersom, Nivea Ferreira, Peter Lucas
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• A Matrix Factorization Approach for Integrating Multiple Data Views
  Derek Greene, Pádraig Cunningham
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• Mining Graph Evolution Rules
  Michele Berlingerio, Francesco Bonchi, Björn Bringmann, Aristides Gionis
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• PLSI: the True Fisher Kernel and Beyond
  Jean-Cedric Chappelier, Emmanuel Eckard
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• Efficient Multi-Start Strategies for Local Search Algorithms
  Levente Kocsis, András György
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• Inference and Validation of Networks
  Ilias Flaounas, Marco Turchi, Tijl De Bie, Nello Cristianini
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• Learning Preferences with Hidden Common Cause Relations
  Kristian Kersting, Zhao Xu
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• A Convex Method for Locating Regions of Interest with Multi-Instance Learning
  Yu-Feng Li, James T. Kwok, Ivor W. Tsang, Zhi-Hua Zhou
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• Identifying the Original Contribution of a Document via Language Modeling
  Benyah Shaparenko, Thorsten Joachims
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• On Feature Selection, Bias-Variance, and Bagging
  M. Arthur Munson, Rich Caruana
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• Dependency Tree Kernels for Relation Extraction from Natural Language Text
  Frank Reichartz, Hannes Korte, Gerhard Paass
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• Latent Dirichlet Allocation for Automatic Document Categorization
  Jácint Szabó, István Bíró
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• Relevance Grounding for Planning in Relational Domains
  Tobias Lang, Marc Toussaint
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• Multi-Task Feature Selection Using the Multiple Inclusion Criterion (MIC)
  Paramveer S. Dhillon, Brian Tomasik, Dean Foster, Lyle Ungar
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• The Model of Most Informative Patterns and its Application to Knowledge Extraction from Graph Databases
  Frédéric Pennerath, Amedeo Napoli
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• Simulated Iterative Classification: A New Learning Procedure for Graph Labeling
  Francis Maes, Stephane Peters, Ludovic Denoyer, Patrick Gallinari
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• Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs
  Huyen Thi Thanh Do, Alexandros Kalousis, Melanie Hilario
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• Parameter-free Hierarchical Co-Clustering by $n$-Ary Splits
  Dino Ienco, Ruggero G. Pensa, Rosa Meo
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• Margin and Radius Based Multiple Kernel Learning
  Huyen Thi Thanh Do, Alexandros Kalousis, Adam Woznica, Melanie Hilario
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• Neural Networks for State Evaluation in General Game Playing
  Daniel Michulke, Michael Thielscher
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• New Regularized Algorithms for Transducitve Learning
  Partha Pratim Talukdar, Koby Crammer
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• Evaluation Measures for Multi-Class Subgroup Discovery
  Tarek Abudawood, Peter Flach
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• K-Subspace Clustering
  Dingding Wang, Chris Ding, Tao Li
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• Kernel Polytope Faces Pursuit
  Tom Diethe, Zakria Hussain
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• Compositional Models for Reinforcement Learning
  Nicholas K. Jong, Peter Stone
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• Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks
  Eva Besada-Portas, Sergey M. Plis, Jesus M. de la Cruz, Terran Lane
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• Decomposition Algorithms for Training Large-scale Semiparametric Support Vector Machines
  Sangkyun Lee, Stephen Wright
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• Within-network Classification Using Local Structure Similarity
  Christian Desrosiers, George Karypis
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• Topic Significance Ranking of LDA Generative Models
  Loulwah AlSumait, Daniel Barbara, James E. Gentle, Carlotta Domeniconi
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• Mining Spatial Co-location Patterns with Dynamic Neighborhood Constraint
  Feng Qian, Qinming He, Jiangfeng He
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• A Generalization of Forward-backward Algorithm
  Ai Azuma, Yuji Matsumoto
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• Bi-directional Joint Inference for Entity Resolution and Segmentation Using Imperatively-Defined Factor Graphs
  Sameer Singh, Karl Schultz, Andrew McCallum
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• Binary Decomposition Methods for Multipartite Ranking
  Johannes Fuernkranz, Eyke Huellermeier, Stijn Vanderlooy
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• The Sensitivity of Latent Dirichlet Allocation for Information Retrieval
  Laurence Park, Kotagiri Ramamohanarao
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• A Generic Approach to Topic Models
  Gregor Heinrich
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• Stable and Accurate Feature Selection
  Gokhan Gulgezen, Zehra Cataltepe, Lei Yu
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• Capacity Control for Partially Ordered Feature Sets
  Ulrich Rückert
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• Empirical Study of Relational Learning Algorithms in the Phase Transition Framework
  Erick Alphonse, Aomar Osmani
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• Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams
  Mohammad M Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham
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• Acyclic Causality Discovery with Additive Noise: An Information-Theoretical Perspective
  Kun Zhang, Aapo Hyvärinen
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• Syntactic Structural Kernels for Natural Language Interfaces to Databases
  Alessandra Giordani, Alessandro Moschitti
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• Learning the difference between partially observable dynamical systems
  Sami Zhioua, Josee Desharnais, Francois Laviolette, Doina Precup
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• Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns
  Yanchang Zhao, Huaifeng Zhang, Shanshan Wu, Jian Pei, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
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• Protein Identification from Tandem Mass Spectra with Probabilistic Language Modeling
  Yiming Yang, Abhay Harpale, Subramaniam Ganapathy
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• Applying Electromagnetic Field Theory Concepts to Clustering with Constraints
  Huseyin Hakkoymaz, Georgios Chatzimilioudis, Dimitrios Gunopulos, Heikki Mannila
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• Dynamic Factor Graphs for Time Series Modeling
  Piotr Mirowski, Yann LeCun
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• Graph-based Discrete Differential Geometry for Critical Instance Filtering
  Elena Marchiori
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• On Discriminative Parameter Learning of Bayesian Network Classifiers
  Franz Pernkopf, Michael Wohlmayr
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• Kernels for Periodic Time Series Arising in Astronomy
  Gabriel Wachman, Roni Khardon, Pavlos Protopapas, Charles R. Alcock
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• Variational Graph Embedding for Globally and Locally Consistent Feature Extraction
  Shuang-Hong Yang, Hongyuan Zha, S.Kevin Zhou, Bao-Gang Hu
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