Abstract is missing.
- Outlier-Mining-as-a-Service SystemsRuilin Liu, Wendy Hui Wang, Anna Monreale, Dino Pedreschi, Fosca Giannotti, Wenge Guo. 1-18 [doi]
- Differentially Private Projected Histograms: Construction and Use for PredictionStaal A. Vinterbo. 19-34 [doi]
- Fairness-Aware Classifier with Prejudice Remover RegularizerToshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma. 35-50 [doi]
- A Live Comparison of Methods for Personalized Article Recommendation at Forbes.comEvan Kirshenbaum, George Forman, Michael Dugan. 51-66 [doi]
- Fast ALS-Based Tensor Factorization for Context-Aware Recommendation from Implicit FeedbackBalázs Hidasi, Domonkos Tikk. 67-82 [doi]
- Probability Estimation for Multi-class Classification Based on Label RankingWeiwei Cheng, Eyke Hüllermeier. 83-98 [doi]
- Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency DiscoveryN. Kemal Ure, Alborz Geramifard, Girish Chowdhary, Jonathan P. How. 99-115 [doi]
- APRIL: Active Preference Learning-Based Reinforcement LearningRiad Akrour, Marc Schoenauer, Michèle Sebag. 116-131 [doi]
- Autonomous Data-Driven Decision-Making in Smart Electricity MarketsMarkus Peters, Wolfgang Ketter, Maytal Saar-Tsechansky, John Collins. 132-147 [doi]
- Bayesian Nonparametric Inverse Reinforcement LearningBernard Michini, Jonathan P. How. 148-163 [doi]
- Bootstrapping Monte Carlo Tree Search with an Imperfect HeuristicTruong-Huy Dinh Nguyen, Wee Sun Lee, Tze-Yun Leong. 164-179 [doi]
- Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP FactorizationGabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari. 180-194 [doi]
- Learning Policies for Battery Usage Optimization in Electric VehiclesStefano Ermon, Yexiang Xue, Carla P. Gomes, Bart Selman. 195-210 [doi]
- Policy Iteration Based on a Learned Transition ModelVivek Ramavajjala, Charles Elkan. 211-226 [doi]
- Structured Apprenticeship LearningAbdeslam Boularias, Oliver Krömer, Jan Peters. 227-242 [doi]
- A Bayesian Approach for Classification Rule Mining in Quantitative DatabasesDominique Gay, Marc Boullé. 243-259 [doi]
- A Bayesian Scoring Technique for Mining Predictive and Non-Spurious RulesIyad Batal, Gregory F. Cooper, Milos Hauskrecht. 260-276 [doi]
- Generic Pattern Trees for Exhaustive Exceptional Model MiningFlorian Lemmerich, Martin Becker 0003, Martin Atzmueller. 277-292 [doi]
- Bidirectional Semi-supervised Learning with GraphsTomoharu Iwata, Kevin Duh. 293-306 [doi]
- Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information ExtractionSaurabh Verma, Estevam R. Hruschka Jr.. 307-322 [doi]
- Graph-Based Transduction with ConfidenceMatan Orbach, Koby Crammer. 323-338 [doi]
- Maximum Consistency Preferential Random WalksDeguang Kong, Chris H. Q. Ding. 339-354 [doi]
- Semi-supervised Multi-label Classification - A Simultaneous Large-Margin, Subspace Learning ApproachYuhong Guo, Dale Schuurmans. 355-370 [doi]
- MDL-Based Analysis of Time Series at Multiple Time-ScalesUgo Vespier, Arno J. Knobbe, Siegfried Nijssen, Joaquin Vanschoren. 371-386 [doi]
- Separable Approximate Optimization of Support Vector Machines for Distributed SensingSangkyun Lee, Marco Stolpe, Katharina Morik. 387-402 [doi]
- Unsupervised Inference of Auditory Attention from BiosensorsMelih Kandemir, Arto Klami, Akos Vetek, Samuel Kaski. 403-418 [doi]
- A Family of Feed-Forward Models for Protein Sequence ClassificationSam Blasiak, Huzefa Rangwala, Kathryn B. Laskey. 419-434 [doi]
- General Algorithms for Mining Closed Flexible Patterns under Various Equivalence RelationsTomohiro I, Yuki Enokuma, Hideo Bannai, Masayuki Takeda. 435-450 [doi]
- Size Matters: Finding the Most Informative Set of Window LengthsJefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki. 451-466 [doi]
- Discovering Links among Social NetworksFrancesco Buccafurri, Gianluca Lax, Antonino Nocera, Domenico Ursino. 467-482 [doi]
- Efficient Bi-objective Team Formation in Social NetworksMehdi Kargar, Aijun An, Morteza ZiHayat. 483-498 [doi]
- Feature-Enhanced Probabilistic Models for Diffusion Network InferenceLiaoruo Wang, Stefano Ermon, John E. Hopcroft. 499-514 [doi]
- Influence Spread in Large-Scale Social Networks - A Belief Propagation ApproachHuy Nguyen, Rong Zheng. 515-530 [doi]
- Location Affiliation Networks: Bonding Social and Spatial InformationKonstantinos Pelechrinis, Prashant Krishnamurthy. 531-547 [doi]
- On Approximation of Real-World Influence SpreadYu Yang, Enhong Chen, Qi Liu, Biao Xiang, Tong Xu, Shafqat Ali Shad. 548-564 [doi]
- Opinion Formation by Voter Model with Temporal Decay DynamicsMasahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda. 565-580 [doi]
- Viral Marketing for Product Cross-Sell through Social NetworksRamasuri Narayanam, Amit Anil Nanavati. 581-596 [doi]
- Which Topic Will You Follow?Deqing Yang, Yanghua Xiao, Bo Xu, Hanghang Tong, Wei Wang 0009, Sheng Huang. 597-612 [doi]
- Inferring Geographic Coincidence in Ephemeral Social NetworksHonglei Zhuang, Alvin Chin, Sen Wu, Wei Wang, Xia Wang, Jie Tang. 613-628 [doi]
- Pedestrian Quantity Estimation with Trajectory PatternsThomas Liebig, Zhao Xu, Michael May, Stefan Wrobel. 629-643 [doi]
- Socioscope: Spatio-temporal Signal Recovery from Social MediaJun Ming Xu, Aniruddha Bhargava, Robert Nowak, Xiaojin Zhu. 644-659 [doi]
- A Framework for Evaluating the Smoothness of Data-Mining ResultsGaurav Misra, Behzad Golshan, Evimaria Terzi. 660-675 [doi]
- Active Evaluation of Ranking Functions Based on Graded RelevanceChristoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr. 676-691 [doi]
- Community Trend Outlier Detection Using Soft Temporal Pattern MiningManish Gupta, Jing Gao, Yizhou Sun, Jiawei Han. 692-708 [doi]
- Data Structures for Detecting Rare Variations in Time SeriesCaio Dias Valentim, Eduardo Sany Laber, David Sotelo. 709-724 [doi]
- Invariant Time-Series ClassificationJosif Grabocka, Alexandros Nanopoulos, Lars Schmidt-Thieme. 725-740 [doi]
- Learning Bi-clustered Vector Autoregressive ModelsTzu-Kuo Huang, Jeff G. Schneider. 741-756 [doi]
- Discriminative Factor Alignment across Heterogeneous Feature SpaceFangwei Hu, TianQi Chen, Nathan Nan Liu, Qiang Yang, Yong Yu. 757-772 [doi]
- Learning to Perceive Two-Dimensional Displays Using Probabilistic GrammarsNan Li, William W. Cohen, Kenneth R. Koedinger. 773-788 [doi]
- Transfer Spectral ClusteringWenhao Jiang, Fu-Lai Chung. 789-803 [doi]
- An Aspect-Lexicon Creation and Evaluation Tool for Sentiment Analysis ResearchersMus'ab Husaini, Ahmet Koçyigit, Dilek Tapucu, Berrin A. Yanikoglu, Yücel Saygin. 804-807 [doi]
- Association Rule Mining Following the Web Search ParadigmRadek Skrabal, Milan Simunek, Stanislav Vojír, Andrej Hazucha, Tomás Marek, David Chudán, Tomás Kliegr. 808-811 [doi]
- ASV Monitor: Creating Comparability of Machine Learning Methods for Content AnalysisAndreas Niekler, Patrick Jähnichen, Gerhard Heyer. 812-815 [doi]
- ClowdFlows: A Cloud Based Scientific Workflow PlatformJanez Kranjc, Vid Podpecan, Nada Lavrac. 816-819 [doi]
- Extracting Trajectories through an Efficient and Unifying Spatio-temporal Pattern Mining SystemPhan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire. 820-823 [doi]
- Knowledge Discovery through Symbolic Regression with HeuristicLabGabriel Kronberger, Stefan Wagner 0002, Michael Kommenda, Andreas Beham, Andreas Scheibenpflug, Michael Affenzeller. 824-827 [doi]
- OutRules: A Framework for Outlier Descriptions in Multiple Context SpacesEmmanuel Müller, Fabian Keller, Sebastian Blanc, Klemens Böhm. 828-832 [doi]
- Scientific Workflow Management with ADAMSPeter Reutemann, Joaquin Vanschoren. 833-837 [doi]
- TopicExplorer: Exploring Document Collections with Topic ModelsAlexander Hinneburg, Rico Preiss, René Schröder. 838-841 [doi]
- VIKAMINE - Open-Source Subgroup Discovery, Pattern Mining, and AnalyticsMartin Atzmueller, Florian Lemmerich. 842-845 [doi]
- Learning Submodular FunctionsMaria-Florina Balcan, Nicholas J. A. Harvey. 846-849 [doi]
- Matrix Factorization as SearchKristian Kersting, Christian Bauckhage, Christian Thurau, Mirwaes Wahabzada. 850-853 [doi]
- Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption SpectroscopyMarco Lippi, Andrea Passerini, Marco Punta, Paolo Frasconi. 854-857 [doi]
- Modelling Input Varying Correlations between Multiple ResponsesAndrew Gordon Wilson, Zoubin Ghahramani. 858-861 [doi]