Table of Contents

• Industrializing Data Mining, Challenges and PerspectivesFrançoise Fogelman-Soulié. 1 [doi]
• From Microscopy Images to Models of Cellular ProcessesYoav Freund. 2 [doi]
• Data Clustering: 50 Years Beyond K-meansAnil K. Jain. 3-4 [doi]
• Learning Language from Its Perceptual ContextRaymond J. Mooney. 5 [doi]
• The Role of Hierarchies in Exploratory Data MiningRaghu Ramakrishnan. 6 [doi]
• Rollout Sampling Approximate Policy IterationChristos Dimitrakakis, Michail G. Lagoudakis. 7 [doi]
• New Closed-Form Bounds on the Partition FunctionDvijotham Krishnamurthy, Soumen Chakrabarti, Subhasis Chaudhuri. 8 [doi]
• Large Margin vs. Large Volume in Transductive LearningRan El-Yaniv, Dmitry Pechyony, Vladimir Vapnik. 9-10 [doi]
• Incremental Exemplar Learning Schemes for Classification on Embedded DevicesAnkur Jain, Daniel Nikovski. 11 [doi]
• A Collaborative Filtering Framework Based on Both Local User Similarity and Global User SimilarityHeng Luo, Changyong Niu, Ruimin Shen, Carsten Ullrich. 12 [doi]
• A Critical Analysis of Variants of the AUCStijn Vanderlooy, Eyke Hüllermeier. 13 [doi]
• Improving Maximum Margin Matrix FactorizationMarkus Weimer, Alexandros Karatzoglou, Alex J. Smola. 14 [doi]
• Finding Reliable Subgraphs from Large Probabilistic GraphsPetteri Hintsanen, Hannu Toivonen. 15 [doi]
• A Space Efficient Solution to the Frequent String Mining Problem for Many DatabasesAdrian Kügel, Enno Ohlebusch. 16 [doi]
• The Boolean Column and Column-Row Matrix DecompositionsPauli Miettinen. 17 [doi]
• SkyGraph: An Algorithm for Important Subgraph Discovery in Relational GraphsApostolos N. Papadopoulos, Apostolos Lyritsis, Yannis Manolopoulos. 18 [doi]
• Mining Conjunctive Sequential PatternsChedy Raïssi, Toon Calders, Pascal Poncelet. 19 [doi]
• Adequate Condensed Representations of PatternsArnaud Soulet, Bruno Crémilleux. 20-21 [doi]
• Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect DataJimeng Sun, Charalampos E. Tsourakakis, Evan Hoke, Christos Faloutsos, Tina Eliassi-Rad. 22 [doi]
• TOPTMH: Topology Predictor for Transmembrane alpha-HelicesRezwan Ahmed, Huzefa Rangwala, George Karypis. 23-38 [doi]
• Learning to Predict One or More Ranks in Ordinal Regression TasksJaime Alonso, Juan José del Coz, Jorge Díez, Oscar Luaces, Antonio Bahamonde. 39-54 [doi]
• Cascade RSVM in Peer-to-Peer NetworksHock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng. 55-70 [doi]
• An Algorithm for Transfer Learning in a Heterogeneous EnvironmentAndreas Argyriou, Andreas Maurer, Massimiliano Pontil. 71-85 [doi]
• Minimum-Size Bases of Association RulesJosé L. Balcázar. 86-101 [doi]
• Combining Classifiers through Triplet-Based Belief FunctionsYaxin Bi, Shengli Wu, Xuhui Shen, Pang Xiong. 102-116 [doi]
• An Improved Multi-task Learning Approach with Applications in Medical DiagnosisJinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, R. Bharat Rao. 117-132 [doi]
• Semi-supervised Laplacian Regularization of Kernel Canonical Correlation AnalysisMatthew B. Blaschko, Christoph H. Lampert, Arthur Gretton. 133-145 [doi]
• Sequence Labelling SVMs Trained in One PassAntoine Bordes, Nicolas Usunier, Léon Bottou. 146-161 [doi]
• Semi-supervised Classification from Discriminative Random WalksJérôme Callut, Kevin Françoisse, Marco Saerens, Pierre Dupont. 162-177 [doi]
• Learning Bidirectional Similarity for Collaborative FilteringBin Cao, Jian-Tao Sun, Jianmin Wu, Qiang Yang, Zheng Chen. 178-194 [doi]
• Bootstrapping Information Extraction from Semi-structured Web PagesAndrew Carlson, Charles Schafer. 195-210 [doi]
• Online Multiagent Learning against Memory Bounded AdversariesDoran Chakraborty, Peter Stone. 211-226 [doi]
• Scalable Feature Selection for Multi-class ProblemsBoris Chidlovskii, Loïc Lecerf. 227-240 [doi]
• Learning Decision Trees for Unbalanced DataDavid A. Cieslak, Nitesh V. Chawla. 241-256 [doi]
• Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise ProbabilitiesGiorgio Corani, Marco Zaffalon. 257-271 [doi]
• A Fast Method for Training Linear SVM in the PrimalTrinh Minh Tri Do, Thierry Artières. 272-287 [doi]
• On the Equivalence of the SMO and MDM Algorithms for SVM TrainingJorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro. 288-300 [doi]
• Nearest Neighbour Classification with Monotonicity ConstraintsWouter Duivesteijn, Ad Feelders. 301-316 [doi]
• Modeling Transfer Relationships Between Learning Tasks for Improved Inductive TransferEric Eaton, Marie desJardins, Terran Lane. 317-332 [doi]
• Mining Edge-Weighted Call Graphs to Localise Software BugsFrank Eichinger, Klemens Böhm, Matthias Huber. 333-348 [doi]
• Hierarchical Distance-Based Conceptual ClusteringAna Maria Funes, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana. 349-364 [doi]
• Mining Frequent Connected Subgraphs Reducing the Number of CandidatesAndrés Gago Alonso, José E. Medina-Pagola, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad. 365-376 [doi]
• Unsupervised Riemannian Clustering of Probability Density FunctionsAlvina Goh, René Vidal. 377-392 [doi]
• Online Manifold Regularization: A New Learning Setting and Empirical StudyAndrew B. Goldberg, Ming Li, Xiaojin Zhu. 393-407 [doi]
• A Fast Algorithm to Find Overlapping Communities in NetworksSteve Gregory. 408-423 [doi]
• A Case Study in Sequential Pattern Mining for IT-Operational RiskValerio Grossi, Andrea Romei, Salvatore Ruggieri. 424-439 [doi]
• Tight Optimistic Estimates for Fast Subgroup DiscoveryHenrik Grosskreutz, Stefan Rüping, Stefan Wrobel. 440-456 [doi]
• Watch, Listen & Learn: Co-training on Captioned Images and VideosSonal Gupta, Joohyun Kim, Kristen Grauman, Raymond J. Mooney. 457-472 [doi]
• Parameter Learning in Probabilistic Databases: A Least Squares ApproachBernd Gutmann, Angelika Kimmig, Kristian Kersting, Luc De Raedt. 473-488 [doi]
• Improving k-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating CharacteristicsMd. Rafiul Hassan, M. Maruf Hossain, James Bailey, Kotagiri Ramamohanarao. 489-504 [doi]
• One-Class Classification by Combining Density and Class Probability EstimationKathryn Hempstalk, Eibe Frank, Ian H. Witten. 505-519 [doi]
• Efficient Frequent Connected Subgraph Mining in Graphs of Bounded TreewidthTamás Horváth, Jan Ramon. 520-535 [doi]
• Proper Model Selection with Significance TestJin Huang, Charles X. Ling, Harry Zhang, Stan Matwin. 536-547 [doi]
• A Projection-Based Framework for Classifier Performance EvaluationNathalie Japkowicz, Pritika Sanghi, Peter Tischer. 548-563 [doi]
• Distortion-Free Nonlinear Dimensionality ReductionYangqing Jia, Zheng Wang, Changshui Zhang. 564-579 [doi]
• Learning with L::q<1:: vs L::1::-Norm Regularisation with Exponentially Many Irrelevant FeaturesAta Kabán, Robert J. Durrant. 580-596 [doi]
• Catenary Support Vector MachinesKin Fai Kan, Christian R. Shelton. 597-610 [doi]
• Exact and Approximate Inference for Annotating Graphs with Structural SVMsThoralf Klein, Ulf Brefeld, Tobias Scheffer. 611-623 [doi]
• Extracting Semantic Networks from Text Via Relational ClusteringStanley Kok, Pedro Domingos. 624-639 [doi]
• Ranking the Uniformity of Interval PairsJussi Kujala, Tapio Elomaa. 640-655 [doi]
• Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination GraphsLior Kuyer, Shimon Whiteson, Bram Bakker, Nikos A. Vlassis. 656-671 [doi]
• StreamKrimp: Detecting Change in Data StreamsMatthijs van Leeuwen, Arno Siebes. 672-687 [doi]