Abstract is missing.
- Erratum: Area under the Precision-Recall Curve: Point Estimates and Confidence IntervalsKendrick Boyd, Kevin H. Eng, C. David Page Jr.. [doi]
- AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization StrategyBaidya Nath Saha, Gautam Kunapuli, Nilanjan Ray, Joseph A. Maldjian, Sriraam Natarajan. 1-16 [doi]
- Parallel Boosting with MomentumIndraneel Mukherjee, Kevin Robert Canini, Rafael M. Frongillo, Yoram Singer. 17-32 [doi]
- Inner Ensembles: Using Ensemble Methods Inside the Learning AlgorithmHouman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin. 33-48 [doi]
- Learning Discriminative Sufficient Statistics Score Space for ClassificationXiong Li, Bin Wang, Yuncai Liu, Tai Sing Lee. 49-64 [doi]
- The Stochastic Gradient Descent for the Primal L1-SVM Optimization RevisitedConstantinos Panagiotakopoulos, Petroula Tsampouka. 65-80 [doi]
- Bundle CDN: A Highly Parallelized Approach for Large-Scale ℓ1-Regularized Logistic RegressionYatao Bian, Xiong Li, Mingqi Cao, Yuncai Liu. 81-95 [doi]
- MORD: Multi-class Classifier for Ordinal RegressionKostiantyn Antoniuk, Vojtech Franc, Václav Hlavác. 96-111 [doi]
- Identifiability of Model Properties in Over-Parameterized Model ClassesManfred Jaeger. 112-127 [doi]
- Exploratory LearningBhavana Bharat Dalvi, William W. Cohen, Jamie Callan. 128-143 [doi]
- Semi-supervised Gaussian Process Ordinal RegressionP. K. Srijith, Shirish Krishnaj Shevade, S. Sundararajan. 144-159 [doi]
- Influence of Graph Construction on Semi-supervised LearningCelso André R. de Sousa, Solange O. Rezende, Gustavo E. A. P. A. Batista. 160-175 [doi]
- Tractable Semi-supervised Learning of Complex Structured Prediction ModelsKai-Wei Chang, S. Sundararajan, S. Sathiya Keerthi. 176-191 [doi]
- PSSDL: Probabilistic Semi-supervised Dictionary LearningBehnam Babagholami-Mohamadabadi, Ali Zarghami, Mohammadreza Zolfaghari, Mahdieh Soleymani Baghshah. 192-207 [doi]
- Embedding with Autoencoder RegularizationWenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi. 208-223 [doi]
- Reduced-Rank Local Distance Metric LearningYinjie Huang, Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos. 224-239 [doi]
- Learning Exemplar-Represented Manifolds in Latent Space for ClassificationShu Kong, Donghui Wang. 240-255 [doi]
- Locally Linear Landmarks for Large-Scale Manifold LearningMax Vladymyrov, Miguel Á. Carreira-Perpiñán. 256-271 [doi]
- Discovering Skylines of Subgroup SetsMatthijs van Leeuwen, Antti Ukkonen. 272-287 [doi]
- Difference-Based Estimates for Generalization-Aware Subgroup DiscoveryFlorian Lemmerich, Martin Becker 0003, Frank Puppe. 288-303 [doi]
- Local Outlier Detection with InterpretationXuan Hong Dang, Barbora Micenková, Ira Assent, Raymond T. Ng. 304-320 [doi]
- Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector MachinesMarco Stolpe, Kanishka Bhaduri, Kamalika Das, Katharina Morik. 321-336 [doi]
- Mining Outlier Participants: Insights Using Directional Distributions in Latent ModelsDidi Surian, Sanjay Chawla. 337-352 [doi]
- Anonymizing Data with Relational and Transaction AttributesGiorgos Poulis, Grigorios Loukides, Aris Gkoulalas-Divanis, Spiros Skiadopoulos. 353-369 [doi]
- Privacy-Preserving Mobility Monitoring Using Sketches of Stationary Sensor ReadingsMichael Kamp, Christine Kopp, Michael Mock, Mario Boley, Michael May. 370-386 [doi]
- Evasion Attacks against Machine Learning at Test TimeBattista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli. 387-402 [doi]
- The Top-k Frequent Closed Itemset Mining Using Top-k SAT ProblemSaïd Jabbour, Lakhdar Sais, Yakoub Salhi. 403-418 [doi]
- A Declarative Framework for Constrained ClusteringThi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain. 419-434 [doi]
- SNNAP: Solver-Based Nearest Neighbor for Algorithm PortfoliosMarco Collautti, Yuri Malitsky, Deepak Mehta, Barry O'Sullivan. 435-450 [doi]
- Area under the Precision-Recall Curve: Point Estimates and Confidence IntervalsKendrick Boyd, Kevin H. Eng, C. David Page Jr.. 451-466 [doi]
- Incremental Sensor Placement Optimization on Water NetworkXiaomin Xu, Yiqi Lu, Sheng Huang, Yanghua Xiao, Wei Wang 0009. 467-482 [doi]
- Detecting Marionette Microblog Users for Improved Information CredibilityXian Wu, Ziming Feng, Wei Fan, Jing Gao, Yong Yu. 483-498 [doi]
- Will My Question Be Answered? Predicting "Question Answerability" in Community Question-Answering SitesGideon Dror, Yoelle Maarek, Idan Szpektor. 499-514 [doi]
- Learning to Detect Patterns of CrimeTong Wang, Cynthia Rudin, Daniel Wagner, Rich Sevieri. 515-530 [doi]
- Space Allocation in the Retail Industry: A Decision Support System Integrating Evolutionary Algorithms and Regression ModelsFábio Pinto, Carlos Soares. 531-546 [doi]
- Forest-Based Point Process for Event Prediction from Electronic Health RecordsJeremy C. Weiss, David Page. 547-562 [doi]
- On Discovering the Correlated Relationship between Static and Dynamic Data in Clinical Gait AnalysisYin Song, Jian Zhang, Longbing Cao, Morgan Sangeux. 563-578 [doi]
- Computational Drug Repositioning by Ranking and Integrating Multiple Data SourcesPing Zhang 0016, Pankaj Agarwal, Zoran Obradovic. 579-594 [doi]
- Score As You Lift (SAYL): A Statistical Relational Learning Approach to Uplift ModelingHoussam Nassif, Finn Kuusisto, Elizabeth S. Burnside, David Page, Jude W. Shavlik, Vítor Santos Costa. 595-611 [doi]
- A Theoretical Framework for Exploratory Data Mining: Recent Insights and Challenges AheadTijl De Bie, Eirini Spyropoulou. 612-616 [doi]
- Tensor Factorization for Multi-relational LearningMaximilian Nickel, Volker Tresp. 617-621 [doi]
- MONIC and Followups on Modeling and Monitoring Cluster TransitionsMyra Spiliopoulou, Eirini Ntoutsi, Yannis Theodoridis, Rene Schult. 622-626 [doi]
- Towards Robot Skill Learning: From Simple Skills to Table TennisJan Peters, Jens Kober, Katharina Mülling, Oliver Krömer, Gerhard Neumann. 627-631 [doi]
- Functional MRI Analysis with Sparse ModelsIrina Rish. 632-636 [doi]
- Image Hub Explorer: Evaluating Representations and Metrics for Content-Based Image Retrieval and Object RecognitionNenad Tomasev, Dunja Mladenic. 637-640 [doi]
- Ipseity - A Laboratory for Synthesizing and Validating Artificial Cognitive Systems in Multi-agent SystemsFabrice Lauri, Nicolas Gaud, Stéphane Galland, Vincent Hilaire. 641-644 [doi]
- OpenML: A Collaborative Science PlatformJan N. van Rijn, Bernd Bischl, Luis Torgo, Bo Gao, Venkatesh Umaashankar, Simon Fischer, Patrick Winter, Bernd Wiswedel, Michael R. Berthold, Joaquin Vanschoren. 645-649 [doi]
- ViperCharts: Visual Performance Evaluation PlatformBorut Sluban, Nada Lavrac. 650-653 [doi]
- Entityclassifier.eu: Real-Time Classification of Entities in Text with WikipediaMilan Dojchinovski, Tomás Kliegr. 654-658 [doi]
- Hermoupolis: A Trajectory Generator for Simulating Generalized Mobility PatternsNikos Pelekis, Christos Ntrigkogias, Panagiotis Tampakis, Stylianos Sideridis, Yannis Theodoridis. 659-662 [doi]
- AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone DataMichele Berlingerio, Francesco Calabrese, Giusy Di Lorenzo, Rahul Nair, Fabio Pinelli, Marco Luca Sbodio. 663-666 [doi]
- ScienScan - An Efficient Visualization and Browsing Tool for Academic SearchDaniil Mirylenka, Andrea Passerini. 667-671 [doi]
- InVis: A Tool for Interactive Visual Data AnalysisDaniel Paurat, Thomas Gärtner. 672-676 [doi]
- Kanopy: Analysing the Semantic Network around Document TopicsIoana Hulpus, Conor Hayes, Marcel Karnstedt, Derek Greene, Marek Jozwowicz. 677-680 [doi]
- SCCQL : A Constraint-Based Clustering SystemAntoine Adam, Hendrik Blockeel, Sander Govers, Abram Aertsen. 681-684 [doi]