Abstract is missing.
- Classifying a Stream of Infinite Concepts: A Bayesian Non-parametric ApproachSeyyed Abbas Hosseini, Hamid R. Rabiee, Hassan Hafez, Ali-Asghar Soltani-Farani. 1-16 [doi]
- Fast Nearest Neighbor Search on Large Time-Evolving GraphsLeman Akoglu, Rohit Khandekar, Vibhore Kumar, Srinivasan Parthasarathy, Deepak Rajan, Kun-Lung Wu. 17-33 [doi]
- Deconstructing Kernel MachinesMohsen Ali, Muhammad Rushdi, Jeffrey Ho. 34-49 [doi]
- Beyond Blocks: Hyperbolic Community DetectionMiguel Araujo, Stephan Günnemann, Gonzalo Mateos, Christos Faloutsos. 50-65 [doi]
- Concurrent Bandits and Cognitive Radio NetworksOrly Avner, Shie Mannor. 66-81 [doi]
- Kernel Principal Geodesic AnalysisSuyash P. Awate, Yen-Yun Yu, Ross T. Whitaker. 82-98 [doi]
- Attributed Graph Kernels Using the Jensen-Tsallis q-DifferencesLu Bai, Luca Rossi 0004, Horst Bunke, Edwin R. Hancock. 99-114 [doi]
- Sub-sampling for Multi-armed BanditsAkram Baransi, Odalric-Ambrym Maillard, Shie Mannor. 115-131 [doi]
- Knowledge-Powered Deep Learning for Word EmbeddingJiang Bian, Bin Gao, Tie-Yan Liu. 132-148 [doi]
- Density-Based Subspace Clustering in Heterogeneous NetworksBrigitte Boden, Martin Ester, Thomas Seidl. 149-164 [doi]
- Open Question Answering with Weakly Supervised Embedding ModelsAntoine Bordes, Jason Weston, Nicolas Usunier. 165-180 [doi]
- Towards Automatic Feature Construction for Supervised ClassificationMarc Boullé. 181-196 [doi]
- Consistency of Losses for Learning from Weak LabelsJesús Cid-Sueiro, Dario García-García, Raúl Santos-Rodríguez. 197-210 [doi]
- Active Learning for Support Vector Machines with Maximum Model ChangeWenbin Cai, Ya Zhang, Siyuan Zhou, Wenquan Wang, Chris H. Q. Ding, Xiao Gu. 211-226 [doi]
- Anomaly Detection with Score Functions Based on the Reconstruction Error of the Kernel PCALaetitia Chapel, Chloé Friguet. 227-241 [doi]
- Fast Gaussian Pairwise Constrained Spectral ClusteringDavid Chatel, Pascal Denis, Marc Tommasi. 242-257 [doi]
- A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust RelationshipsGianni Costa, Giuseppe Manco, Riccardo Ortale. 258-273 [doi]
- Domain Adaptation with Regularized Optimal TransportNicolas Courty, Rémi Flamary, Devis Tuia. 274-289 [doi]
- Discriminative Subnetworks with Regularized Spectral Learning for Global-State Network DataXuan Hong Dang, Ambuj K. Singh, Petko Bogdanov, Hongyuan You, Bayyuan Hsu. 290-306 [doi]
- Infinitely Many-Armed Bandits with Unknown Value DistributionYahel David, Nahum Shimkin. 307-322 [doi]
- Cautious Ordinal Classification by Binary DecompositionSébastien Destercke, Gen Yang. 323-337 [doi]
- Error-Bounded Approximations for Infinite-Horizon Discounted Decentralized POMDPsJilles Steeve Dibangoye, Olivier Buffet, François Charpillet. 338-353 [doi]
- Approximate Consistency: Towards Foundations of Approximate Kernel SelectionLi-Zhong Ding, Shizhong Liao. 354-369 [doi]
- Nowcasting with Numerous Candidate PredictorsBrendan Duncan, Charles Elkan. 370-385 [doi]
- Revisit Behavior in Social Media: The Phoenix-R Model and DiscoveriesFlavio Figueiredo, Jussara M. Almeida, Yasuko Matsubara, Bruno Ribeiro, Christos Faloutsos. 386-401 [doi]
- FASOLE: Fast Algorithm for Structured Output LEarningVojtech Franc. 402-417 [doi]
- Neutralized Empirical Risk Minimization with Generalization Neutrality BoundKazuto Fukuchi, Jun Sakuma. 418-433 [doi]
- Effective Blending of Two and Three-way Interactions for Modeling Multi-relational DataAlberto García-Durán, Antoine Bordes, Nicolas Usunier. 434-449 [doi]
- Automatic Design of Neuromarkers for OCD CharacterizationOscar García Hinde, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Carles Soriano-Mas. 450-465 [doi]
- Importance Weighted Inductive Transfer Learning for RegressionJochen Garcke, Thomas Vanck. 466-481 [doi]
- Policy Search for Path Integral ControlVicenç Gómez, Hilbert J. Kappen, Jan Peters, Gerhard Neumann. 482-497 [doi]
- How Many Topics? Stability Analysis for Topic ModelsDerek Greene, Derek O'Callaghan, Padraig Cunningham. 498-513 [doi]
- Joint Prediction of Topics in a URL HierarchyMichael Großhans, Christoph Sawade, Tobias Scheffer, Niels Landwehr. 514-529 [doi]
- Learned-Norm Pooling for Deep Feedforward and Recurrent Neural NetworksÇaglar Gülçehre, KyungHyun Cho, Razvan Pascanu, Yoshua Bengio. 530-546 [doi]
- Combination of One-Class Support Vector Machines for Classification with Reject OptionBlaise Hanczar, Michèle Sebag. 547-562 [doi]
- Relative Comparison Kernel Learning with Auxiliary KernelsEric Heim, Hamed Valizadegan, Milos Hauskrecht. 563-578 [doi]
- Transductive Minimax Probability MachineGao Huang, Shiji Song, Zhixiang Eddie Xu, Kilian Q. Weinberger. 579-594 [doi]
- Covariate-Correlated Lasso for Feature SelectionBo Jiang, Chris H. Q. Ding, Bin Luo. 595-606 [doi]
- Random Forests with Random Projections of the Output Space for High Dimensional Multi-label ClassificationArnaud Joly, Pierre Geurts, Louis Wehenkel. 607-622 [doi]
- Communication-Efficient Distributed Online Prediction by Dynamic Model SynchronizationMichael Kamp, Mario Boley, Daniel Keren, Assaf Schuster, Izchak Sharfman. 623-639 [doi]
- Hetero-Labeled LDA: A Partially Supervised Topic Model with Heterogeneous LabelsDongyeop Kang, Youngja Park, Suresh Chari. 640-655 [doi]
- Bayesian Multi-view Tensor FactorizationSuleiman A. Khan, Samuel Kaski. 656-671 [doi]
- Conditional Log-linear Models for Mobile Application Usage PredictionJingu Kim, Taneli Mielikäinen. 672-687 [doi]
- Pushing-Down Tensor Decompositions over Unions to Promote Reuse of Materialized DecompositionsMijung Kim, K. Selçuk Candan. 688-704 [doi]