Accepted Papers

To appear in Machine Learning Journal

  • A Collaborative Filtering Framework Based on both Local User Similarity and Global User Similarity
    Heng Luo, Changyong Niu, Ruimin Shen, Carsten Ullrich
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  • Improving Maximum Margin Matrix Factorization
    Markus Weimer, Alexandros Karatzoglou, Alex Smola
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  • Incremental Exemplar Learning Schemes for Classification on Embedded Devices
    Ankur Jain, Daniel Nikovski
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  • A Critical Analysis of Variants of the AUC
    Stijn Vanderlooy, Eyke Huellermeier
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  • Rollout Sampling Approximate Policy Iteration
    Christos Dimitrakakis, Michail G. Lagoudakis
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  • Large Margin vs. Large Volume in Transductive
    Ran El-Yaniv, Dmitry Pechyony, Vladimir Vapnik
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  • New Closed-form Bounds on the Partition Function
    Krishnamurthy Dvijotham, Soumen Chakrabarti, Subhasis Chaudhuri
    View abstract

To appear in Data Mining and Knowledge Discovery Journal

  • Two heads better than one: Pattern Discovery in Time-evolving Multi-Aspect Data
    Jimeng Sun, Tina Eliassi-Rad, Charalampos E. Tsourakakis, Evan Hoke, Christos Faloutsos
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  • Adequate Condensed Representations of Patterns
    Arnaud Soulet, Bruno Cremilleux
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  • A Space Efficient Solution to the Frequent String Mining Problem for Many Databases
    Adrian Kugel, Enno Ohlebusch
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  • The Boolean Column and Column-Row Matrix Decompositions
    Pauli Miettinen
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  • Finding Reliable Subgraphs from Large Probabilistic Graphs
    Petteri Hintsanen, Hannu Toivonen
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  • SkyGraph: An Algorithm for Important Subgraph Discovery in Relational Graphs
    Apostolos Papadopoulos, Apostolos Lyritsis, Yannis Manolopoulos
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  • Mining Conjunctive Sequential Patterns
    Chedy Raissi, Toon Calders, Pascal Poncelet
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To appear in LNAI proceedings

  • Unsupervised Riemannian Clustering of Probability Density Functions
    Alvina Goh, René Vidal
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  • A Projection-Based Framework for Classifier Performance Evaluation
    Nathalie Japkowicz, Pritika Sanghi, Peter Tischer
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  • Pool-based Agnostic Experiment Design in Linear Regression
    Masashi Sugiyama, Shinichi Nakajima
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  • Semi-Supervised Discriminant Analysis via CCCP
    Yu Zhang, Dit-Yan Yeung
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  • StreamKrimp: Detecting Change in Data Streams
    Matthijs van Leeuwen, Arno Siebes
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  • Exceptional Model Mining
    Dennis Leman, Ad Feelders, Arno Knobbe
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  • Actively Transfer Domain Knowledge
    Xiaoxiao Shi, Wei Fan, Jiangtao Ren
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  • Minimum-Size Bases of Association Rules
    José L Balcázar
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  • Learning to Predict One or More Ranks in Ordinal Regression Tasks
    Jaime Alonso, Juan José Del Coz, Jorge Díez, Oscar Luaces, Antonio Bahamonde
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  • Catenary Support Vector Machines
    Kin Fai Kan, Christian R. Shelton
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  • An Algorithm for Transfer Learning in a Heterogeneous Environment
    Andreas Argyriou, Andreas Maurer, Massimiliano Pontil
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  • Ranking the Uniformity of Interval Pairs
    Jussi Kujala, Tapio Elomaa
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  • Exact and Approximate Inference for Annotating Graphs with Structural SVMs
    Thoralf Klein, Ulf Brefeld, Tobias Scheffer
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  • Distortion-Free Nonlinear Dimensionality Reduction
    Yangqing Jia, Zheng Wang, Changshui Zhang
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  • A Genetic Algorithm for Text Classification Rule Induction
    Adriana Pietramala, Veronica L. Policicchio, Pasquale Rullo, Inderbir Sidhu
    View abstract
  • Parameter Learning in Probabilistic Databases: A Least Squares Approach
    Bernd Gutmann, Angelika Kimmig, Kristian Kersting, Luc De Raedt
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  • A Fast Method for Training Linear SVM in the Primal
    Trinh-Minh-Tri Do, Thierry Artieres
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  • Distribution-free Learning of Bayesian Network Structure
    Xiaohai Sun
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  • A Joint Topic and Perspective Model for Ideological Discourse
    Wei-Hao Lin, Eric Xing, Alexander Hauptmann
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  • Estimating Sales Opportunity using Similarity-based Methods
    Sholom Weiss, Nitin Indurkhya
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  • Semi-Supervised Boosting for Multi-Class Classification
    Hamed Valizadegan, Rong Jin, Anil K. Jain
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  • Hierarchical, Parameter-Free Community Discovery
    Spiros Papadimitriou, Jimeng Sun, Philip S. Yu, Christos Faloutsos
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  • Hierarchical Distance-based Conceptual Clustering
    Ana Maria Funes, Cesar Ferri, Jose Hernandez-Orallo, Maria Jose Ramirez-Quintana
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  • Decomposable Families of Itemsets
    Nikolaj Tatti, Hannes Heikinheimo
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  • Scalable Feature Selection for Multi-Class Problems
    Boris Chidlovskii, Loïc Lecerf
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  • Effective Pruning Techniques for Mining Quasi-cliques
    Guimei Liu, Limsoon Wong
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  • Tight Optimistic Estimates for Fast Subgroup Discovery
    Henrik Grosskreutz, Stefan Ruping, Stefan Wrobel
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  • Improving k-Nearest Neighbour Classification with Distance Functions based on Receiver Operating Characteristics
    Md. Rafiul Hassan, M. Maruf Hossain, James Bailey, Kotagiri Ramamohanarao
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  • Mining Edge-Weighted Call Graphs to Localise Software Bugs
    Frank Eichinger, Klemens Böhm, Matthias Huber
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  • Robust Feature Selection using Ensemble Feature Selection Techniques
    Yvan Saeys, Thomas Abeel, Yves Van de Peer
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  • State-Dependent Exploration for Policy Gradient Methods
    Thomas Rückstiess, Martin Felder, Jürgen Schmidhuber
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  • Improving Classification with Pairwise Constraints: A Margin-based Approach
    Nam Nguyen, Rich Caruana
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  • Transferred Dimensionality Reduction
    Zheng Wang, Yangqiu Song, Changshui Zhang
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  • Sequence Labelling SVMs Trained in One Pass
    Antoine Bordes, Nicolas Usunier, Leon Bottou
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  • Learning Bidirectional Similarity for Collaborative Filtering
    Bin Cao, Jian-Tao Sun, Jianmin Wu, Qiang Yang, Zheng Chen
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  • Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis
    Matthew B. Blaschko, Christoph H. Lampert, Arthur Gretton
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  • Combining Classifiers through Triplet-based Belief Functions
    Yaxin Bi, Shengli Wu, Xuhui Shen, Pan Xiong
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  • Transferring Instances for Model-Based Reinforcement Learning
    Matthew E. Taylor, Nicholas K. Jong, Peter Stone
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  • Nearest Neighbour Classification with Monotonicity Constraints
    Wouter Duivesteijn, Ad Feelders
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  • Mining Frequent Connected Subgraphs Reducing the Number of Candidates
    Andrés Gago Alonso, José E. Medina Pagola, J. Ariel Carrasco-Ochoa, J. Fco. Martínez-Trinidad
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  • A Joint Segmenting and Labeling Approach for Chinese Lexical Analysis
    Xinhao Wang, Jiazhong Nie, Dingsheng Luo, Xihong Wu
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  • A Novel Scalable and Data Efficient Feature Subset Selection Algorithm
    Sergio Rodrigues de Morais, Alex Aussem
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  • On the equivalence of the SMO and MDM Algorithms for SVM Training
    Jose R. Dorronsoro, Alvaro Barbero, Jorge Lopez
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  • A Case Study in Sequential Pattern Mining for IT-Operational Risk
    Valerio Grossi, Andrea Romei, Salvatore Ruggieri
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  • Multiagent Reinforcement Learning for Urban Traffic Control using Coordination Graphs
    Lior Kuyer, Shimon Whiteson, Bram Bakker, Nikos Vlassis
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  • Credal Model Averaging: an Extension of Bayesian Model Averaging to Imprecise Probabilities
    Giorgio Corani, Marco Zaffalon
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  • Semi-supervised Classification from Discriminative Random Walks
    Jerome Callut, Kevin Francoisse, Marco Saerens, Pierre Dupont
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  • Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer
    Eric Eaton, Marie desJardins, Terran Lane
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  • Large-Scale Clustering through Functional Embedding
    Frederic Ratle, Jason Weston, Matthew L. Miller
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  • Multiple Manifold Learning Framework based on Hierarchical Mixture Density Model
    Xiaoxia Wang, Peter Tino, Mark A. Fardal
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  • Fitted Natural Actor-Critic: A New Algorithm for Continuous State-Action MDPs
    Francisco S. Melo, Manuel C. Lopes
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  • Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain
    Eneldo Loza Mencía, Johannes Fürnkranz
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  • A New Natural Policy Gradient by Stationary Distribution Metric
    Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya
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  • Continuous Time Bayesian Networks for Host Level Network Intrusion Detection
    Jing Xu, Christian R. Shelton
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  • A Fast Algorithm to Find Overlapping Communities in Networks
    Steve Gregory
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  • Mixed Bregman Clustering with Approximation Guarantees
    Richard Nock, Panu Luosto, Jyrki Kivinen
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  • Effective Visualization of Information Diffusion Process over Complex Networks
    Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
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  • Bootstrapping Information Extraction from Semi-structured Web Pages
    Andrew Carlson, Charles Schafer
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  • Assessing Nonlinear Granger Causality from Multivariate Time Series
    Xiaohai Sun
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  • Data Streaming with Affinity Propagation
    Xiangliang Zhang, Cyril Furtlehner, Michele Sebag
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  • Metric Learning: A Support Vector Approach
    Nam Nguyen, Yunsong Guo
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  • Watch, Listen & Learn: Co-training on Captioned Images and Videos
    Sonal Gupta, Joohyun Kim, Kristen Grauman, Raymond Mooney
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  • Clustering Distributed Sensor Data Streams
    Pedro Rodrigues-Pereira, João Gama, Luís Lopes
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  • Client-Friendly Classification over Random Hyperplane Hashes
    Shyamsundar Rajaram, Martin Scholz
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  • An Improved Multi-task Learning Approach with Applications in Medical Diagnosis
    Jinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, Bharat Rao
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  • TOPTMH: Topology Predictor for Transmembrane Alpha Helices
    Rezwan Ahmed, Huzefa Rangwala, George Karypis
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  • Online Multiagent Learning against Memory Bounded Adversaries
    Doran Chakraborty, Peter Stone
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  • Towards Machine Learning of Grammars and Compilers of Programming Languages
    Katsuhiko Nakamura, Keita Imada
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  • Clustering via Local Regression
    Jun Sun, Zhiyong Shen, Hui Li, Yidong Shen
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  • Proper Model Selection with Significance Test
    Jin Huang, Charles X. Ling, Harry Zhang, Stan Matwin
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  • Support Vector Machines, Data Reduction, and Approximate Kernel Matrices
    XuanLong Nguyen, Ling Huang, Anthony D. Joseph
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  • A Simple Model for Sequences of Relational State Descriptions
    Ingo Thon, Niels Landwehr, Luc De Raedt
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  • Cascade RSVM in Peer-to-Peer Networks
    Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng
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  • Learning Decision Trees for Unbalanced Data
    David A. Cieslak, Nitesh V. Chawla
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  • Classification of Multi-Labeled Data: A Generative Approach
    Andreas P. Streich, Joachim M. Buhmann
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  • Extracting Semantic Networks from Text via Relational Clustering
    Stanley Kok, Pedro Domingos
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  • One-class Classification by Combining Density and Class Probability Estimation
    Kathryn Hempstalk, Eibe Frank, Ian H. Witten
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  • Learning MDP Action Models via Discrete Mixture Trees
    Michael Wynkoop, Thomas Dietterich
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  • A Unified View of Matrix Factorization Models
    Ajit P. Singh, Geoffrey J. Gordon
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  • Kernel-Based Inductive Transfer
    Ulrich Rückert, Stefan Kramer
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  • Nonstationary Gaussian Process Regression using Point Estimates of Local Smoothness
    Christian Plagemann, Kristian Kersting, Wolfram Burgard
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  • Parallel Spectral Clustering
    Yangqiu Song, Wen-Yen Chen, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang
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  • Learning with $L_{q<1}$ vs $L_1$-norm regularisation with exponentially many irrelevant features
    Ata Kaban, Robert Durrant
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  • Efficient Frequent Connected Subgraph Mining in Graphs of Bounded Treewidth
    Tamas Horvath, Jan Ramon
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  • Online Manifold Regularization: A New Learning Setting and Empirical Study
    Andrew B. Goldberg, Ming Li, Xiaojin Zhu
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