Table of Contents

• BeatLex: Summarizing and Forecasting Time Series with PatternsBryan Hooi, Shenghua Liu, Asim Smailagic, Christos Faloutsos. 3-19 [doi]
• Behavioral Constraint Template-Based Sequence ClassificationJohannes De Smedt, Galina Deeva, Jochen De Weerdt. 20-36 [doi]
• Efficient Sequence Regression by Learning Linear Models in All-Subsequence SpaceSeverin Gsponer, Barry Smyth, Georgiana Ifrim. 37-52 [doi]
• Subjectively Interesting Connecting TreesFlorian Adriaens, Jefrey Lijffijt, Tijl De Bie. 53-69 [doi]
• Malware Detection by Analysing Encrypted Network Traffic with Neural NetworksPaul Prasse, Lukás Machlica, Tomás Pevný, Jirí Havelka, Tobias Scheffer. 73-88 [doi]
• PEM: A Practical Differentially Private System for Large-Scale Cross-Institutional Data MiningYi Li 0005, Yitao Duan, Wei Xu. 89-105 [doi]
• Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information SourcesEdwin Simpson, Steven Reece, Stephen J. Roberts. 109-125 [doi]
• Bayesian Inference for Least Squares Temporal Difference RegularizationNikolaos Tziortziotis, Christos Dimitrakakis. 126-141 [doi]
• Discovery of Causal Models that Contain Latent Variables Through Bayesian Scoring of Independence ConstraintsFattaneh Jabbari, Joseph Ramsey, Peter Spirtes, Gregory F. Cooper. 142-157 [doi]
• Labeled DBN Learning with Community Structure KnowledgeE. Auclair, Nathalie Peyrard, Régis Sabbadin. 158-174 [doi]
• Multi-view Generative Adversarial NetworksMickaël Chen, Ludovic Denoyer. 175-188 [doi]
• Online Sparse Collapsed Hybrid Variational-Gibbs Algorithm for Hierarchical Dirichlet Process Topic ModelsSophie Burkhardt, Stefan Kramer 0001. 189-204 [doi]
• PAC-Bayesian Analysis for a Two-Step Hierarchical Multiview Learning ApproachAnil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini. 205-221 [doi]
• Partial Device FingerprintsMichael Ciere, Carlos Gañán, Michel van Eeten. 222-237 [doi]
• Robust Multi-view Topic Modeling by Incorporating Detecting AnomaliesGuoxi Zhang, Tomoharu Iwata, Hisashi Kashima. 238-250 [doi]
• A Regularization Method with Inference of Trust and Distrust in Recommender SystemsDimitrios Rafailidis, Fabio Crestani. 253-268 [doi]
• A Unified Contextual Bandit Framework for Long- and Short-Term RecommendationsMaryam Tavakol, Ulf Brefeld. 269-284 [doi]
• Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online RecommendationShoujin Wang, Liang Hu, Longbing Cao. 285-302 [doi]
• Adaptive Skip-Train Structured Regression for Temporal NetworksMartin Pavlovski, Fang Zhou, Ivan Stojkovic, Ljupco Kocarev, Zoran Obradovic. 305-321 [doi]
• ALADIN: A New Approach for Drug-Target Interaction PredictionKrisztian Buza, Ladislav Peska. 322-337 [doi]
• Co-Regularised Support Vector RegressionKatrin Ullrich, Michael Kamp, Thomas Gärtner, Martin Vogt, Stefan Wrobel. 338-354 [doi]
• Online Regression with Controlled Label Noise RateEdward Moroshko, Koby Crammer. 355-369 [doi]
• Generalized Inverse Reinforcement Learning with Linearly Solvable MDPMasahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada. 373-388 [doi]
• Max K-Armed Bandit: On the ExtremeHunter Algorithm and BeyondMastane Achab, Stéphan Clémençon, Aurélien Garivier, Anne Sabourin, Claire Vernade. 389-404 [doi]
• Variational Thompson Sampling for Relational Recurrent BanditsSylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari. 405-421 [doi]
• Explaining Deviating Subsets Through Explanation NetworksAntti Ukkonen, Vladimir Dzyuba, Matthijs van Leeuwen. 425-441 [doi]
• Flash Points: Discovering Exceptional Pairwise Behaviors in Vote or Rating DataAdnene Belfodil, Sylvie Cazalens, Philippe Lamarre, Marc Plantevit. 442-458 [doi]
• A Multiscale Bezier-Representation for Time Series that Supports Elastic MatchingFrank Höppner, Tobias Sobek. 461-477 [doi]
• Arbitrated Ensemble for Time Series ForecastingVítor Cerqueira, Luís Torgo, Fábio Pinto, Carlos Soares. 478-494 [doi]
• Cost Sensitive Time-Series ClassificationShoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic. 495-511 [doi]
• Cost-Sensitive Perceptron Decision Trees for Imbalanced Drifting Data StreamsBartosz Krawczyk, Przemyslaw Skryjomski. 512-527 [doi]
• Efficient Temporal Kernels Between Feature Sets for Time Series ClassificationRomain Tavenard, Simon Malinowski, Laetitia Chapel, Adeline Bailly, Heider Sanchez, Benjamin Bustos. 528-543 [doi]
• Forecasting and Granger Modelling with Non-linear Dynamical DependenciesMagda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet. 544-558 [doi]
• Learning TSK Fuzzy Rules from Data StreamsAmmar Shaker, Waleri Heldt, Eyke Hüllermeier. 559-574 [doi]
• Non-parametric Online AUC MaximizationBalázs Szörényi, Snir Cohen, Shie Mannor. 575-590 [doi]
• On-Line Dynamic Time Warping for Streaming Time SeriesIzaskun Oregi, Aritz Pérez, Javier Del Ser, José Antonio Lozano. 591-605 [doi]
• PowerCast: Mining and Forecasting Power Grid SequencesHyun Ah Song, Bryan Hooi, Marko Jereminov, Amritanshu Pandey, Larry T. Pileggi, Christos Faloutsos. 606-621 [doi]
• UAPD: Predicting Urban Anomalies from Spatial-Temporal DataXian Wu, Yuxiao Dong, Chao Huang, Jian Xu, Dong Wang, Nitesh V. Chawla. 622-638 [doi]
• LKT-FM: A Novel Rating Pattern Transfer Model for Improving Non-overlapping Cross-Domain Collaborative FilteringYizhou Zang, Xiaohua Hu. 641-656 [doi]
• Distributed Multi-task Learning for Sensor NetworkJiyi Li, Tomohiro Arai, Yukino Baba, Hisashi Kashima, Shotaro Miwa. 657-672 [doi]
• Learning Task Clusters via Sparsity Grouped Multitask LearningMeghana Kshirsagar, Eunho Yang, Aurélie C. Lozano. 673-689 [doi]
• Lifelong Learning with Gaussian ProcessesChristopher Clingerman, Eric Eaton. 690-704 [doi]
• Personalized Tag Recommendation for Images Using Deep Transfer LearningHanh T. H. Nguyen, Martin Wistuba, Lars Schmidt-Thieme. 705-720 [doi]
• Ranking Based Multitask Learning of Scoring FunctionsIvan Stojkovic, Mohamed F. Ghalwash, Zoran Obradovic. 721-736 [doi]
• Theoretical Analysis of Domain Adaptation with Optimal TransportIevgen Redko, Amaury Habrard, Marc Sebban. 737-753 [doi]
• TSP: Learning Task-Specific Pivots for Unsupervised Domain AdaptationXia Cui, Frans Coenen, Danushka Bollegala. 754-771 [doi]
• k^2 k 2 -means for Fast and Accurate Large Scale ClusteringEirikur Agustsson, Radu Timofte, Luc Van Gool. 775-791 [doi]
• A Simple Exponential Family Framework for Zero-Shot LearningVinay Kumar Verma, Piyush Rai. 792-808 [doi]
• DeepCluster: A General Clustering Framework Based on Deep LearningKai Tian, Shuigeng Zhou, Jihong Guan. 809-825 [doi]
• Multi-view Spectral Clustering on Conflicting ViewsXiao He, Limin Li, Damian Roqueiro, Karsten M. Borgwardt. 826-842 [doi]
• Pivot-Based Distributed K-Nearest Neighbor MiningCaitlin Kuhlman, Yizhou Yan, Lei Cao, Elke A. Rundensteiner. 843-860 [doi]