Table of Contents

• FLIP: Active Learning for Relational Network ClassificationTanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi. 1-18 [doi]
• Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-DensityHiroaki Sasaki, Aapo Hyvärinen, Masashi Sugiyama. 19-34 [doi]
• Local Policy Search in a Convex Space and Conservative Policy Iteration as Boosted Policy SearchBruno Scherrer, Matthieu Geist. 35-50 [doi]
• Code You Are Happy to Paste: An Algorithmic Dictionary of Exponential FamiliesOlivier Schwander. 51-65 [doi]
• Statistical Hypothesis Testing in Positive Unlabelled DataKonstantinos Sechidis, Borja Calvo, Gavin Brown. 66-81 [doi]
• Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical ModelBar Shalem, Yoram Bachrach, John Guiver, Christopher M. Bishop. 82-97 [doi]
• Gaussian Process Multi-task Learning Using Joint Feature SelectionP. K. Srijith, Shirish Krishnaj Shevade. 98-113 [doi]
• Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule LearningJulius Stecher, Frederik Janssen, Johannes Fürnkranz. 114-129 [doi]
• Scalable Information Flow Mining in NetworksKarthik Subbian, Chidananda Sridhar, Charu C. Aggarwal, Jaideep Srivastava. 130-146 [doi]
• Link Prediction in Multi-modal Social NetworksPanagiotis Symeonidis, Christos Perentis. 147-162 [doi]
• Faster Way to Agony - Discovering Hierarchies in Directed GraphsNikolaj Tatti. 163-178 [doi]
• Speeding Up Recovery from Concept DriftsSilas Garrido Teixeira de Carvalho Santos, Paulo Mauricio Gonçalves Júnior, Geyson Daniel dos Santos Silva, Roberto Souto Maior de Barros. 179-194 [doi]
• Training Restricted Boltzmann Machines with Overlapping PartitionsHasari Tosun, John W. Sheppard. 195-208 [doi]
• Integer Bayesian Network ClassifiersSebastian Tschiatschek, Karin Paul, Franz Pernkopf. 209-224 [doi]
• Multi-target Regression via Random Linear Target CombinationsGrigorios Tsoumakas, Eleftherios Spyromitros Xioufis, Aikaterini Vrekou, Ioannis P. Vlahavas. 225-240 [doi]
• Ratio-Based Multiple Kernel ClusteringGrigorios Tzortzis, Aristidis Likas. 241-257 [doi]
• Evidence-Based Clustering for Scalable Inference in Markov LogicDeepak Venugopal, Vibhav Gogate. 258-273 [doi]
• On Learning Matrices with Orthogonal Columns or Disjoint SupportsKevin Vervier, Pierre Mahé, Alexandre d'Aspremont, Jean-Baptiste Veyrieras, Jean-Philippe Vert. 274-289 [doi]
• Scalable Moment-Based Inference for Latent Dirichlet AllocationChi Wang, Xueqing Liu, Yanglei Song, Jiawei Han. 290-305 [doi]
• Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK)De Wang, Feiping Nie, Heng Huang. 306-321 [doi]
• On the Equivalence between Deep NADE and Generative Stochastic NetworksLi Yao, Sherjil Ozair, KyungHyun Cho, Yoshua Bengio. 322-336 [doi]
• Scalable Nonnegative Matrix Factorization with Block-wise UpdatesJiangtao Yin, Lixin Gao, Zhongfei (Mark) Zhang. 337-352 [doi]
• Convergence of Min-Sum-Min Message-Passing for Quadratic OptimizationGuoqiang Zhang, Richard Heusdens. 353-368 [doi]
• Clustering Image Search Results by Entity DisambiguationKaiqi Zhao, Zhiyuan Cai, Qingyu Sui, Enxun Wei, Kenny Q. Zhu. 369-384 [doi]
• Accelerating Model Selection with Safe Screening for L 1-Regularized L 2-SVMZheng Zhao, Jun Liu, James Cox. 385-400 [doi]
• Kernel Alignment Inspired Linear Discriminant AnalysisShuai Zheng, Chris Ding. 401-416 [doi]
• Transfer Learning with Multiple Sources via Consensus Regularized AutoencodersFuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi. 417-431 [doi]
• Branty: A Social Media Ranking Tool for BrandsAlexandros Arvanitidis, Anna Serafi, Athena Vakali, Grigorios Tsoumakas. 432-435 [doi]
• MinUS: Mining User Similarity with Trajectory PatternsXihui Chen, Piotr Kordy, Ruipeng Lu, Jun Pang. 436-439 [doi]
• KnowNow: A Serendipity-Based Educational Tool for Learning Time-Linked KnowledgeLuigi Di Caro, Livio Robaldo, Nicoletta Bersia. 440-443 [doi]
• Khiops CoViz: A Tool for Visual Exploratory Analysis of k-Coclustering ResultsBruno Guerraz, Marc Boullé, Dominique Gay, Fabrice Clérot. 444-447 [doi]
• PYTHIA: Employing Lexical and Semantic Features for Sentiment AnalysisIoannis Manoussos Katakis, Iraklis Varlamis, George Tsatsaronis. 448-451 [doi]
• Spá: A Web-Based Viewer for Text Mining in Evidence Based MedicineJoël Kuiper, Iain James Marshall, Byron C. Wallace, Morris A. Swertz. 452-455 [doi]
• Propositionalization OnlineNada Lavrac, Matic Perovsek, Anze Vavpetic. 456-459 [doi]
• Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological DatasetsUli Niemann, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn. 460-463 [doi]
• WebDR: A Web Workbench for Data ReductionStefanos Ougiaroglou, Georgios Evangelidis. 464-467 [doi]
• GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time SeriesPavel Senin, Jessica Lin 0001, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein, Manfred Lerner. 468-472 [doi]
• Insight4News: Connecting News to Relevant Social ConversationsBichen Shi, Georgiana Ifrim, Neil Hurley. 473-476 [doi]
• BestTime: Finding Representatives in Time Series DatasetsStephan Spiegel, David Schultz, Sahin Albayrak. 477-480 [doi]
• BMaD - A Boolean Matrix Decomposition FrameworkAndrey Tyukin, Stefan Kramer, Jörg Wicker. 481-484 [doi]
• Analyzing and Grounding Social Interaction in Online and Offline NetworksMartin Atzmueller. 485-488 [doi]
• Be Certain of How-to before Mining Uncertain DataFrancesco Gullo, Giovanni Ponti, Andrea Tagarelli. 489-493 [doi]
• Active Learning Is Planning: Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian ProcessesTrong Nghia Hoang, Kian Hsiang Low, Patrick Jaillet, Mohan S. Kankanhalli. 494-498 [doi]
• Generalized Online Sparse Gaussian Processes with Application to Persistent Mobile Robot LocalizationKian Hsiang Low, Nuo Xu, Jie Chen, Keng Kiat Lim, Etkin Baris Özgül. 499-503 [doi]
• Distributional Clauses Particle FilterDavide Nitti, Tinne De Laet, Luc De Raedt. 504-507 [doi]
• Network Reconstruction for the Identification of miRNA: mRNA Interaction NetworksGianvito Pio, Michelangelo Ceci, Domenica D'Elia, Donato Malerba. 508-511 [doi]
• Machine Learning Approaches for MetagenomicsHuzefa Rangwala, Anveshi Charuvaka, Zeehasham Rasheed. 512-515 [doi]
• Sampling-Based Data Mining Algorithms: Modern Techniques and Case StudiesMatteo Riondato. 516-519 [doi]
• Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: HighlightsFrançois Schnitzler, Alexander Artikis, Matthias Weidlich, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dermot Kinane, Dimitrios Gunopulos. 520-523 [doi]
• Agents Teaching Agents in Reinforcement Learning (Nectar Abstract)Matthew E. Taylor, Lisa Torrey. 524-528 [doi]