Abstract is missing.
- Temporally Evolving Community Detection and Prediction in Content-Centric NetworksAna Paula Appel, Renato L. F. Cunha, Charu C. Aggarwal, Marcela Megumi Terakado. 3-18 [doi]
- Local Topological Data Analysis to Uncover the Global Structure of Data Approaching Graph-Structured TopologiesRobin Vandaele, Tijl De Bie, Yvan Saeys. 19-36 [doi]
- Similarity Modeling on Heterogeneous Networks via Automatic Path DiscoveryCarl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han 0001. 37-54 [doi]
- Dynamic Hierarchies in Temporal Directed NetworksNikolaj Tatti. 55-70 [doi]
- Risk-Averse Matchings over Uncertain Graph DatabasesCharalampos E. Tsourakakis, Shreyas Sekar, Johnson Lam, Liu Yang. 71-87 [doi]
- Discovering Urban Travel Demands Through Dynamic Zone Correlation in Location-Based Social NetworksWangsu Hu, Zijun Yao, Sen Yang, Shuhong Chen, Peter J. Jin. 88-104 [doi]
- Social-Affiliation Networks: Patterns and the SOAR ModelDhivya Eswaran, Reihaneh Rabbany, Artur W. Dubrawski, Christos Faloutsos. 105-121 [doi]
- ONE-M: Modeling the Co-evolution of Opinions and Network ConnectionsAastha Nigam, Kijung Shin, Ashwin Bahulkar, Bryan Hooi, David Hachen, Boleslaw K. Szymanski, Christos Faloutsos, Nitesh V. Chawla. 122-140 [doi]
- Think Before You Discard: Accurate Triangle Counting in Graph Streams with DeletionsKijung Shin, Jisu Kim, Bryan Hooi, Christos Faloutsos. 141-157 [doi]
- Semi-supervised Blockmodelling with Pairwise GuidanceMohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Laurence A. F. Park. 158-174 [doi]
- Large-Scale Nonlinear Variable Selection via Kernel Random FeaturesMagda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet. 177-192 [doi]
- Fast and Provably Effective Multi-view Classification with Landmark-Based SVMValentina Zantedeschi, Rémi Emonet, Marc Sebban. 193-208 [doi]
- Nyström-SGD: Fast Learning of Kernel-Classifiers with Conditioned Stochastic Gradient DescentLukas Pfahler, Katharina Morik. 209-224 [doi]
- Hyperparameter Learning for Conditional Kernel Mean Embeddings with Rademacher Complexity BoundsKelvin Hsu, Richard Nock, Fabio Ramos. 227-242 [doi]
- Deep Learning Architecture Search by Neuro-Cell-Based Evolution with Function-Preserving MutationsMartin Wistuba. 243-258 [doi]
- VC-Dimension Based Generalization Bounds for Relational LearningOndrej Kuzelka, Yuyi Wang, Steven Schockaert. 259-275 [doi]
- Robust Super-Level Set Estimation Using Gaussian ProcessesAndrea Zanette, Junzi Zhang, Mykel J. Kochenderfer. 276-291 [doi]
- Scalable Nonlinear AUC Maximization MethodsMajdi Khalid, Indrakshi Ray, Hamidreza Chitsaz. 292-307 [doi]
- Lambert Matrix FactorizationArto Klami, Jarkko Lagus, Joseph Sakaya. 311-326 [doi]
- Identifying and Alleviating Concept Drift in Streaming Tensor DecompositionRavdeep Pasricha, Ekta Gujral, Evangelos E. Papalexakis. 327-343 [doi]
- MASAGA: A Linearly-Convergent Stochastic First-Order Method for Optimization on ManifoldsReza Babanezhad, Issam H. Laradji, Alireza Shafaei, Mark Schmidt. 344-359 [doi]
- Block CUR: Decomposing Matrices Using Groups of ColumnsUrvashi Oswal, Swayambhoo Jain, Kevin S. Xu 0001, Brian Eriksson. 360-376 [doi]
- \mathttSpectralLeader : Online Spectral Learning for Single Topic ModelsTong Yu, Branislav Kveton, Zheng Wen, Hung Hai Bui, Ole J. Mengshoel. 379-395 [doi]
- Online Learning of Weighted Relational Rules for Complex Event RecognitionNikos Katzouris, Evangelos Michelioudakis, Alexander Artikis, Georgios Paliouras. 396-413 [doi]
- Toward Interpretable Deep Reinforcement Learning with Linear Model U-TreesGuiliang Liu, Oliver Schulte, Wang Zhu, Qingcan Li. 414-429 [doi]
- Online Feature Selection by Adaptive Sub-gradient MethodsTingting Zhai, Hao Wang, Frédéric Koriche, Yang Gao. 430-446 [doi]
- Frame-Based Optimal DesignSebastian Mair, Yannick Rudolph, Vanessa Closius, Ulf Brefeld. 447-463 [doi]
- Hierarchical Active Learning with Proportion Feedback on RegionsZhipeng Luo, Milos Hauskrecht. 464-480 [doi]
- An Efficient Algorithm for Computing Entropic Measures of Feature SubsetsFrédéric Pennerath. 483-499 [doi]
- Anytime Subgroup Discovery in Numerical Domains with GuaranteesAimene Belfodil, Adnene Belfodil, Mehdi Kaytoue. 500-516 [doi]
- Discovering Spatio-Temporal Latent Influence in Geographical Attention DynamicsMinoru Higuchi, Kanji Matsutani, Masahito Kumano, Masahiro Kimura. 517-534 [doi]
- Mining Periodic Patterns with a MDL CriterionEsther Galbrun, Peggy Cellier, Nikolaj Tatti, Alexandre Termier, Bruno Crémilleux. 535-551 [doi]
- Revisiting Conditional Functional Dependency Discovery: Splitting the "C" from the "FD"Joeri Rammelaere, Floris Geerts. 552-568 [doi]
- Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap ConstraintDang Nguyen 0002, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung. 569-584 [doi]
- Mining Tree Patterns with Partially Injective HomomorphismsTill Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel. 585-601 [doi]
- Variational Bayes for Mixture Models with Censored DataMasahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda. 605-620 [doi]
- Exploration Enhanced Expected Improvement for Bayesian OptimizationJulian Berk, Vu Nguyen 0001, Sunil Gupta, Santu Rana, Svetha Venkatesh. 621-637 [doi]
- A Left-to-Right Algorithm for Likelihood Estimation in Gamma-Poisson Factor AnalysisJoan Capdevila, Jesús Cerquides, Jordi Torres, François Petitjean, Wray L. Buntine. 638-654 [doi]
- Causal Inference on Multivariate and Mixed-Type DataAlexander Marx, Jilles Vreeken. 655-671 [doi]
- POLAR: Attention-Based CNN for One-Shot Personalized Article RecommendationZhengxiao Du, Jie Tang, Yuhui Ding. 675-690 [doi]
- Learning Multi-granularity Dynamic Network Representations for Social RecommendationPeng Liu 0025, Lemei Zhang, Jon Atle Gulla. 691-708 [doi]
- GeoDCF: Deep Collaborative Filtering with Multifaceted Contextual Information in Location-Based Social NetworksDimitrios Rafailidis, Fabio Crestani. 709-724 [doi]
- Personalized Thread Recommendation for MOOC Discussion ForumsAndrew S. Lan, Jonathan C. Spencer, Ziqi Chen, Christopher G. Brinton, Mung Chiang. 725-740 [doi]
- Inferring Continuous Latent Preference on Transition Intervals for Next Point-of-Interest RecommendationJing He, Xin Li 0033, Lejian Liao, Mingzhong Wang. 741-756 [doi]
- Feature Selection for Unsupervised Domain Adaptation Using Optimal TransportLéo Gautheron, Ievgen Redko, Carole Lartizien. 759-776 [doi]
- Web-Induced Heterogeneous Transfer Learning with Sample SelectionSanatan Sukhija, Narayanan Chatapuram Krishnan. 777-793 [doi]
- Towards More Reliable Transfer LearningZirui Wang, Jaime G. Carbonell. 794-810 [doi]
- Differentially Private Hypothesis Transfer LearningYang Wang, Quanquan Gu, Donald E. Brown. 811-826 [doi]
- Information-Theoretic Transfer Learning Framework for Bayesian OptimisationAnil Ramachandran, Sunil Gupta, Santu Rana, Svetha Venkatesh. 827-842 [doi]
- A Unified Framework for Domain Adaptation Using Metric Learning on ManifoldsSridhar Mahadevan, Bamdev Mishra, Shalini Ghosh. 843-860 [doi]