Abstract is missing.
- Enriching Education through Data MiningRakesh Agrawal. 1-2 [doi]
- Human Dynamics: From Human Mobility to PredictabilityAlbert-László Barabási. 3 [doi]
- Embracing Uncertainty: Applied Machine Learning Comes of AgeChristopher M. Bishop. 4 [doi]
- Highly Dimensional Problems in Computational AdvertisingAndrei Z. Broder. 5 [doi]
- Learning from ConstraintsMarco Gori. 6 [doi]
- Permutation Structure in 0-1 DataHeikki Mannila. 7 [doi]
- Reading Customers Needs and Expectations with AnalyticsVasilis Aggelis. 8 [doi]
- Algorithms and Challenges on the GeoWebRadu Jurca. 9 [doi]
- Data Science and Machine Learning at ScaleNeel Sundaresan. 10 [doi]
- Smart Cities: How Data Mining and Optimization Can Shape Future CitiesOlivier Verscheure. 11 [doi]
- Preference-Based Policy LearningRiad Akrour, Marc Schoenauer, Michèle Sebag. 12-27 [doi]
- Constraint Selection for Semi-supervised Topological ClusteringKais Allab, Khalid Benabdeslem. 28-43 [doi]
- Is There a Best Quality Metric for Graph Clusters?Hélio Almeida, Dorgival Olavo Guedes Neto, Wagner Meira Jr., Mohammed J. Zaki. 44-59 [doi]
- Adaptive Boosting for Transfer Learning Using Dynamic UpdatesSamir Al-Stouhi, Chandan K. Reddy. 60-75 [doi]
- Peer and Authority Pressure in Information-Propagation ModelsAris Anagnostopoulos, George Brova, Evimaria Terzi. 76-91 [doi]
- Constrained Logistic Regression for Discriminative Pattern MiningRajul Anand, Chandan K. Reddy. 92-107 [doi]
- α-Clusterable SetsGerasimos Antzoulatos, Michael N. Vrahatis. 108-123 [doi]
- Privacy Preserving Semi-supervised Learning for Labeled GraphsHiromi Arai, Jun Sakuma. 124-139 [doi]
- Novel Fusion Methods for Pattern RecognitionMuhammad Awais, Fei Yan, Krystian Mikolajczyk, Josef Kittler. 140-155 [doi]
- A Spectral Learning Algorithm for Finite State TransducersBorja Balle, Ariadna Quattoni, Xavier Carreras. 156-171 [doi]
- An Analysis of Probabilistic Methods for Top-N Recommendation in Collaborative FilteringNicola Barbieri, Giuseppe Manco. 172-187 [doi]
- Learning Good Edit Similarities with Generalization GuaranteesAurélien Bellet, Amaury Habrard, Marc Sebban. 188-203 [doi]
- Constrained Laplacian Score for Semi-supervised Feature SelectionKhalid Benabdeslem, Mohammed Hindawi. 204-218 [doi]
- COSNet: A Cost Sensitive Neural Network for Semi-supervised Learning in GraphsAlberto Bertoni, Marco Frasca, Giorgio Valentini. 219-234 [doi]
- Regularized Sparse Kernel Slow Feature AnalysisWendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer. 235-248 [doi]
- A Selecting-the-Best Method for Budgeted Model SelectionGianluca Bontempi, Olivier Caelen. 249-262 [doi]
- A Robust Ranking Methodology Based on Diverse Calibration of AdaBoostRóbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas. 263-279 [doi]
- Active Learning of Model Parameters for Influence MaximizationTianyu Cao, Xindong Wu, Xiaohua Tony Hu, Song Wang. 280-295 [doi]
- Sampling Table Configurations for the Hierarchical Poisson-Dirichlet ProcessChangyou Chen, Lan Du, Wray L. Buntine. 296-311 [doi]
- Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement LearningWeiwei Cheng, Johannes Fürnkranz, Eyke Hüllermeier, Sang-Hyeun Park. 312-327 [doi]
- Learning Recommendations in Social Media Systems by Weighting Multiple RelationsBoris Chidlovskii. 328-342 [doi]
- Clustering Rankings in the Fourier DomainStéphan Clémençon, Romaric Gaudel, Jérémie Jakubowicz. 343-358 [doi]
- PerTurbo: A New Classification Algorithm Based on the Spectrum Perturbations of the Laplace-Beltrami OperatorNicolas Courty, Thomas Burger, Johann Laurent. 359-374 [doi]
- Datum-Wise Classification: A Sequential Approach to SparsityGabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari. 375-390 [doi]
- Manifold Coarse Graining for Online Semi-supervised LearningMehrdad Farajtabar, Amirreza Shaban, Hamid Reza Rabiee, Mohammad H. Rohban. 391-406 [doi]
- Learning from Partially Annotated SequencesEraldo R. Fernandes, Ulf Brefeld. 407-422 [doi]
- The Minimum Transfer Cost Principle for Model-Order SelectionMario Frank, Morteza Haghir Chehreghani, Joachim M. Buhmann. 423-438 [doi]
- A Geometric Approach to Find Nondominated Policies to Imprecise Reward MDPsValdinei Freire da Silva, Anna Helena Reali Costa. 439-454 [doi]
- Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGsBenoît Frénay, Gael de Lannoy, Michel Verleysen. 455-470 [doi]
- Building Sparse Support Vector Machines for Multi-Instance ClassificationZhouyu Fu, Guojun Lu, Kai Ming Ting, Dengsheng Zhang. 471-486 [doi]
- Lagrange Dual Decomposition for Finite Horizon Markov Decision ProcessesThomas Furmston, David Barber. 487-502 [doi]
- Unsupervised Modeling of Partially Observable EnvironmentsVincent Graziano, Jan Koutník, Jürgen Schmidhuber. 503-515 [doi]
- Tracking Concept Change with Incremental Boosting by Minimization of the Evolving Exponential LossMihajlo Grbovic, Slobodan Vucetic. 516-532 [doi]
- Fast and Memory-Efficient Discovery of the Top-k Relevant Subgroups in a Reduced Candidate SpaceHenrik Grosskreutz, Daniel Paurat. 533-548 [doi]
- Linear Discriminant Dimensionality ReductionQuanquan Gu, Zhenhui Li, Jiawei Han. 549-564 [doi]
- DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature VectorsStephan Günnemann, Brigitte Boden, Thomas Seidl. 565-580 [doi]
- Learning the Parameters of Probabilistic Logic Programs from InterpretationsBernd Gutmann, Ingo Thon, Luc De Raedt. 581-596 [doi]
- Feature Selection Stability Assessment Based on the Jensen-Shannon DivergenceRoberto Guzmán-Martínez, Rocío Alaíz-Rodríguez. 597-612 [doi]
- Mining Actionable Partial Orders in Collections of SequencesRobert Gwadera, Gianluca Antonini, Abderrahim Labbi. 613-628 [doi]
- A Game Theoretic Framework for Data Privacy Preservation in Recommender SystemsMaria Halkidi, Iordanis Koutsopoulos. 629-644 [doi]