Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part I

Front Matter ....Pages I-LXIII
Front Matter ....Pages 1-1
 Concentration Free Outlier Detection  (Fabrizio Angiulli)....Pages 3-19
 Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection  (Jordan Frery, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton)....Pages 20-35
 Robust, Deep and Inductive Anomaly Detection  (Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla)....Pages 36-51
 Sentiment Informed Cyberbullying Detection in Social Media  (Harsh Dani, Jundong Li, Huan Liu)....Pages 52-67
 zooRank: Ranking Suspicious Entities in Time-Evolving Tensors  (Hemank Lamba, Bryan Hooi, Kijung Shin, Christos Faloutsos, Jürgen Pfeffer)....Pages 68-84
Front Matter ....Pages 85-85
 Alternative Semantic Representations for Zero-Shot Human Action Recognition  (Qian Wang, Ke Chen)....Pages 87-102
 Early Active Learning with Pairwise Constraint for Person Re-identification  (Wenhe Liu, Xiaojun Chang, Ling Chen, Yi Yang)....Pages 103-118
 Guiding InfoGAN with Semi-supervision  (Adrian Spurr, Emre Aksan, Otmar Hilliges)....Pages 119-134
 Scatteract: Automated Extraction of Data from Scatter Plots  (Mathieu Cliche, David Rosenberg, Dhruv Madeka, Connie Yee)....Pages 135-150
 Unsupervised Diverse Colorization via Generative Adversarial Networks  (Yun Cao, Zhiming Zhou, Weinan Zhang, Yong Yu)....Pages 151-166
Front Matter ....Pages 167-167
 Dynamic Ensemble Selection with Probabilistic Classifier Chains  (Anil Narassiguin, Haytham Elghazel, Alex Aussem)....Pages 169-186
 Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks  (Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu)....Pages 187-202
 Fast and Accurate Density Estimation with Extremely Randomized Cutset Networks  (Nicola Di Mauro, Antonio Vergari, Teresa M. A. Basile, Floriana Esposito)....Pages 203-219
Front Matter ....Pages 221-221
 Deep Discrete Hashing with Self-supervised Pairwise Labels  (Jingkuan Song, Tao He, Hangbo Fan, Lianli Gao)....Pages 223-238
 Including Multi-feature Interactions and Redundancy for Feature Ranking in Mixed Datasets  (Arvind Kumar Shekar, Tom Bocklisch, Patricia Iglesias Sánchez, Christoph Nikolas Straehle, Emmanuel Müller)....Pages 239-255
 Non-redundant Spectral Dimensionality Reduction  (Yochai Blau, Tomer Michaeli)....Pages 256-271
 Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links  (Xiaokai Wei, Sihong Xie, Bokai Cao, Philip S. Yu)....Pages 272-287
 SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble  (Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han)....Pages 288-304
Front Matter ....Pages 305-305
 Bayesian Nonlinear Support Vector Machines for Big Data  (Florian Wenzel, Théo Galy-Fajou, Matthäus Deutsch, Marius Kloft)....Pages 307-322
 Entropic Trace Estimates for Log Determinants  (Jack Fitzsimons, Diego Granziol, Kurt Cutajar, Michael Osborne, Maurizio Filippone, Stephen Roberts)....Pages 323-338
 Fair Kernel Learning  (Adrián Pérez-Suay, Valero Laparra, Gonzalo Mateo-García, Jordi Muñoz-Marí, Luis Gómez-Chova, Gustau Camps-Valls)....Pages 339-355
 GaKCo: A Fast Gapped k-mer String Kernel Using Counting  (Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi)....Pages 356-373
 Graph Enhanced Memory Networks for Sentiment Analysis  (Zhao Xu, Romain Vial, Kristian Kersting)....Pages 374-389
 Kernel Sequential Monte Carlo  (Ingmar Schuster, Heiko Strathmann, Brooks Paige, Dino Sejdinovic)....Pages 390-409
 Learning Łukasiewicz Logic Fragments by Quadratic Programming  (Francesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini)....Pages 410-426
 Nyström Sketches  (Daniel J. Perry, Braxton Osting, Ross T. Whitaker)....Pages 427-442
Front Matter ....Pages 443-443
 Crossprop: Learning Representations by Stochastic Meta-Gradient Descent in Neural Networks  (Vivek Veeriah, Shangtong Zhang, Richard S. Sutton)....Pages 445-459
 Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem  (Shin Matsushima, Hyokun Yun, Xinhua Zhang, S. V. N. Vishwanathan)....Pages 460-476
 Speeding up Hyper-parameter Optimization by Extrapolation of Learning Curves Using Previous Builds  (Akshay Chandrashekaran, Ian R. Lane)....Pages 477-492
 Thompson Sampling for Optimizing Stochastic Local Search  (Tong Yu, Branislav Kveton, Ole J. Mengshoel)....Pages 493-510
Front Matter ....Pages 511-511
 Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation  (Thomas Brouwer, Jes Frellsen, Pietro Lió)....Pages 513-529
 Content-Based Social Recommendation with Poisson Matrix Factorization  (Eliezer de Souza da Silva, Helge Langseth, Heri Ramampiaro)....Pages 530-546
 C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization  (Sibylle Hess, Katharina Morik)....Pages 547-563
 Feature Extraction for Incomplete Data via Low-rank Tucker Decomposition  (Qiquan Shi, Yiu-ming Cheung, Qibin Zhao)....Pages 564-581
 Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries  (Koh Takeuchi, Yoshinobu Kawahara, Tomoharu Iwata)....Pages 582-598
Front Matter ....Pages 599-599
 Attributed Graph Clustering with Unimodal Normalized Cut  (Wei Ye, Linfei Zhou, Xin Sun, Claudia Plant, Christian Böhm)....Pages 601-616
 K-Clique-Graphs for Dense Subgraph Discovery  (Giannis Nikolentzos, Polykarpos Meladianos, Yannis Stavrakas, Michalis Vazirgiannis)....Pages 617-633
 Learning and Scaling Directed Networks via Graph Embedding  (Mikhail Drobyshevskiy, Anton Korshunov, Denis Turdakov)....Pages 634-650
 Local Lanczos Spectral Approximation for Community Detection  (Pan Shi, Kun He, David Bindel, John E. Hopcroft)....Pages 651-667
 Regularizing Knowledge Graph Embeddings via Equivalence and Inversion Axioms  (Pasquale Minervini, Luca Costabello, Emir Muñoz, Vít Nováček, Pierre-Yves Vandenbussche)....Pages 668-683
 Survival Factorization on Diffusion Networks  (Nicola Barbieri, Giuseppe Manco, Ettore Ritacco)....Pages 684-700
 The Network-Untangling Problem: From Interactions to Activity Timelines  (Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis)....Pages 701-716
 TransT: Type-Based Multiple Embedding Representations for Knowledge Graph Completion  (Shiheng Ma, Jianhui Ding, Weijia Jia, Kun Wang, Minyi Guo)....Pages 717-733
Front Matter ....Pages 735-735
 A Network Architecture for Multi-Multi-Instance Learning  (Alessandro Tibo, Paolo Frasconi, Manfred Jaeger)....Pages 737-752
 Con-S2V: A Generic Framework for Incorporating Extra-Sentential Context into Sen2Vec  (Tanay Kumar Saha, Shafiq Joty, Mohammad Al Hasan)....Pages 753-769
 Deep Over-sampling Framework for Classifying Imbalanced Data  (Shin Ando, Chun Yuan Huang)....Pages 770-785
 FCNN: Fourier Convolutional Neural Networks  (Harry Pratt, Bryan Williams, Frans Coenen, Yalin Zheng)....Pages 786-798
 Joint User Modeling Across Aligned Heterogeneous Sites Using Neural Networks  (Xuezhi Cao, Yong Yu)....Pages 799-815
 Sequence Generation with Target Attention  (Yingce Xia, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu)....Pages 816-831
 Wikipedia Vandal Early Detection: From User Behavior to User Embedding  (Shuhan Yuan, Panpan Zheng, Xintao Wu, Yang Xiang)....Pages 832-846
Back Matter ....Pages 847-852