| Euclidean Distances, soft and spectral Clustering on Weighted Graphs
François Bavaud, University of Lausanne CREST: Efficient Confident Search in Large Review Corpora Theodoros Lappas, UCR; Dimitrios Gunopulos, UoA Weighted Symbols-based Edit Distance for String-Structured Image Classification Cécile Barat, Université Jean Monnet; Christophe Ducottet, Université Jean Monnet; Elisa Fromont, Université Jean Monnet; Anne-Claire Legrand, Université Jean Monnet; Marc Sebban, Université Jean Monnet Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models Sriraam Natarajan, University Of Wisconsin; Tushar Khot, University Of Wisconsin; Daniel Lowd, University Of Wisconsin; Prasad Tadepalli, University Of Wisconsin; Kristian Kersting, University Of Wisconsin; Jude Shavlik, University Of Wisconsin Nonparametric Bayesian Clustering Ensembles Pu Wang, George Mason University; Carlotta Domeniconi, George Mason University; Kathryn Laskey, George Mason University Software-Defect Localisation by Mining Dataflow-Enabled Call Graphs Frank Eichinger, Karlsruhe Institute of Technology; Klaus Krogmann, Karlsruhe Institute of Technology; Roland Klug, Karlsruhe Institute of Technology; Klemens Böhm, Karlsruhe Institute of Technology Directed Graph Learning via Co-linkage Similarity and Biased Random Walk Hua Wang, University of Texas at Arlington; Heng Huang, University of Texas at Arlington; Chris Ding, University of Texas at Arlington Semi-supervised Projection Clustering with Transferred Centroid Regularization Bin Tong, Kyushu University; Hao Shao, Kyushu University; Binhui Chou, Kyushu University; Einoshin Suzuki, Kyushu University Competitive online generalized linear regression under square loss Fedor Zhdanov, RHUL; Vladimir Vovk, RHUL On Detecting Clustered Anomalies using SCiForest Fei Tony LIU, Monash University; kai ming Ting, Monash University; Zhi-Hua Zhou, Nanjing University Latent Structure Pattern Mining Andreas Maunz, FDM Uni Freiburg Germany; Christoph Helma, in-silico Toxicology; Tobias Cramer, FDM Uni Freiburg Germany; Stefan Kramer, Technische Universität München Selecting Information Diffusion Models over Social Networks for Behavioral Analysis Kazumi Saito, University of Shizuoka; Masahiro Kimura, Ryukoku University; Kouzou Ohara, Aoyama Gakuin University; Hiroshi Motoda, Osaka University xSocial: Analysis of Large Multi-Modal Social Networks Patterns and a Generator Nan Du, Nokia Research Center; Hao Wang, Nokia Research Center; Christos Faloutsos, CMU Permutation Testing Improves Bayesian Network Learning Ioannis Tsamardinos, University of Crete; Giorgos Borboudakis, ICS-FORTH Semi-Supervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction Pavel Kuksa, Department of Computer Science, Rutgers University; Yanjun Qi, NEC Lab America; Bing Bai, NEC Labs America; Ronan Collobert, NEC Labs America; Jason Weston, Google Complexity Bounds for Batch Active Learning in Classification Olivier Teytaud, TAO, LRI, Université Paris Sud; Philippe Rolet, TAO, LRI, Université Paris Sud Graph Regularized Transductive Classification on Heterogeneous Information Networks Ming Ji, UIUC; Yizhou Sun, UIUC; Marina Danilevsky, UIUC; Jiawei Han, UIUC Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs Rudy Raymond, IBM Research - Tokyo; Hisashi Kashima, U of Tokyo A Concise Representation of Association Rules using Minimal Descriptive Rules Iyad Batal, University of Pittsburgh; Milos Hauskrecht, University of Pittsburgh A Game-Theoretic Framework to Identify Overlapping Communities in Social Networks Wei Chen, Microsoft Research Asia; Zhenming Liu, Harvard University; Xiaorui Sun, Shanghai Jiao Tong University; Yajun Wang, Microsoft Research Asia A Framework to Choose Amongst Models and Datasets for Transfer Learning Erheng Zhong, Sun Yat-Sen University; Wei Fan, ; Qiang Yang, ; Olivier Verscheure, IBM; Jiangtao Ren, Sun Yat-Sen University Synchronization Based Outlier Detection Junming Shao, University of Munich; Christian Böhm, University of Munich; Qinli Yang, University of Edinburgh; Claudia Plant, Technische Universität München A Segmented Topic Model based on the Two-parameter Poisson-Dirichlet process Lan Du, ANU; Wray Buntine, NICTA; Huidong Jin, CSIRO Entropy and Margin Maximization for Structured Output Learning Patrick Pletscher, ETH Zurich; Cheng Soon Ong, ETH Zurich; Joachim M. Buhmann, ETH Zurich Shift-invariant Grouped Multi-task Learning for Gaussian Processes Yuyang Wang, Tufts University; Roni Khardon, Tufts University; Pavlos Protopapas, Harvard-Smithsonian Center for Astrophysics Predictive Distribution Matching SVM for Multi-Domain Learning Chun-Wei Seah, Nanyang Technological Uni; Ivor W. Tsang, ; Yew-Soon Ong, ; Kee-Khoon Lee, Example-dependent Basis Vector Selection for Kernel-based Classifiers Antti Ukkonen, Aalto University / HIIT; Marta Arias, UPC Online Structural Graph Clustering using Frequent Subgraph Mining Madeleine Seeland, ; Tobian Girschick, ; Fabian Buchwald, ; Stefan Kramer, Process Mining meets Abstract Interpretation Josep Carmona, Univ. Politècnica Catalunya; Jordi Cortadella, Universitat Politècnica Catalunya Demand-Driven Tag Recommendation Guilherme Menezes, Fed. Univ. of Minas Gerais; Jussara Almeida, Federal Univerisity of Minas Gerais; Fabiano Belém, Federal University of Minas Gerais; Marcos Gonçalves, Federal University of Minas Gerais; Anísio Lacerda, Federal University of Minas Gerais; Edleno Moura, Universidade Federal do Amazonas; Gisele Pappa, Federal University of Minas Gerais; Adriano Veloso, Federal University of Minas Gerais; Nivio Ziviani, Federal University of Minas Gerais Efficient and Numerically Stable Sparse Learning Sihong Xie, Sun Yat-Sen University; Wei Fan, ; Olivier Verscheure, IBM; Jiangtao Ren, Sun Yat-Sen University Summarising Data by Clustering Items Michael Mampaey, University of Antwerp; Jilles Vreeken, Exploration in Relational Worlds Tobias Lang, TU Berlin; Marc Toussaint, ; Kristian Kersting, Porting Decision Tree Algorithms to Multicore using FastFlow Marco Aldinucci, University of Torino; Salvatore Ruggieri, University of Pisa; Massimo Torquati, University of Pisa Constructing Nonlinear Discriminants from Multiple Data Views Tom Diethe, University College London; David Roi Hardoon, Institute for Infocomm Research, AStar; John Shawe-Taylor, University College London A Unified Approach to Active Dual Supervisionfor Labeling Features and Examples Joshua Attenberg, Nyu polytechnic institute; Prem Melville, insitution; Foster Provost, NYU Stern School of Business Adaptive Bases for Reinforcement Learning Dotan Di Castro, Technion; Shie Mannor, Learning Algorithms for Link Prediction based on Chance Constraints Janardhan Rao Doppa, Oregon State University; Jun Yu, Oregon State University; Prasad Tadepalli, Oregon State University; Lise Getoor, UMD Accelerating Spectral Clustering with Partial Supervision Dimitrios Mavroeidis, European Commission Bayesian Knowledge Corroboration with Logical Rules and User Feedback Gjergji Kasneci, Microsoft Research Cambridge; Jurgen Gael, Microsoft Research Cambridge; Ralf Herbrich, Microsoft Research Cambridge; Thore Graepel, Microsoft Research Cambridge Leveraging Bagging for Evolving Data Streams Albert Bifet, University of Waikato; Geoff Holmes, University of Waikato; Bernhard Pfahringer, University of Waikato Laplacian Spectrum Learning Pannagadatta Shivaswamy, Columbia University; Tony Jebara, Columbia University Smarter Sampling for Bayesian Reinforcement Learning Pablo Castro, McGill University; Doina Precup, McGill University Kantorovich distances between rankings with applications to rank aggregation Stephan Clemencon, Telecom ParisTech; Jeremie Jakubowicz, Telecom ParisTech Large Scale Image Annotation: Learning to Rank with Joint Word-Image Embeddings Jason Weston, Google; Samy Bengio, Google; Nicolas Usunier, Learning to Tag From Noisy Labels Edith Law, Carnegie Mellon University; Burr Settles, Carnegie Mellon University; Tom Mitchell, Carnegie Mellon University Surprising Patterns for the Call Duration Distribution of Mobile Phone Users Pedro Olmo Vaz de Melo, UFMG; Leman Akoglu, Carnegie Mellon University; Christos Faloutsos, ; Antonio Loureiro, UFMG On The Eigenvectors of p-Laplacian Dijun Luo, University of Texas at Arlington; Chris Ding, University of Texas at Arlington; Heng Huang, University of Texas at Arlington; Feiping Nie, Temporal Maximum Margin Markov Network Xiaoqian Jiang, Carnegie Mellon University; Dong Bing, Carnegie Mellon University; Latanya Sweeney, Carnegie Mellon University Many-to-Many Graph Matching: a Continuous Relaxation Approach Mikhail Zaslavskiy, Mines ParisTech; Francis Bach, INRIA; Jean-Philippe Vert, A Cluster-Level Semi-Supervision Model for Interactive Clustering Avinava Dubey, ; Indrajit Bhattacharya, IBM Research - India; Shantanu Godbole, IBM Research - India A measure of robustness of association rules Yannick Le Bras, Telecom Bretagne; Patrick Meyer, ; Philippe Lenca, ; Stéphane Lallich, Bagging for biclustering: application to microarray data Blaise Hanczar, University Paris Descartes; Mohamed Nadif, University Paris Descartes An Efficient and Scalable Algorithm for Local Bayesian Networks Discovery Sergio Rodrigues De Morais, University of Lyon; Alexandre Aussem, University of Lyon Evolutionary Dynamics of Regret Minimization Gerrit Jan van Ahee, ; Tomas Klos, Delft University of Technology; Karl Tuyls, Maastricht University On classifying drifting concepts in P2P networks Hock Hee Ang, NTU; Vivekanand Gopalkrishnan, Nanyang Technological University; Wee Keong Ng, Nanyang Technological University, Singapore; Steven C.H. Hoi, NTU, Singapore Constrained Parameter Estimation for Semi-Supervised Learning: The Case of the Nearest Mean Classifier Marco Loog, Delft University of Technology Adapting Decision DAGs for Multipartite Ranking José Quevedo, U Oviedo at Gijón; Elena Montañés, University of Oviedo; Oscar Luaces, U Oviedo at Gijón; Juan José del Coz, Artificial Intelligence Center. University of Oviedo at Gijón Maximal Exceptions with Minimal Descriptions Matthijs van Leeuwen, Universiteit Utrecht Mining Adversarial Patterns via Regularized Loss Minimization Wei Liu, University of Sydney; Sanjay Chawla, University of Sydney Three approaches for making the naive Bayes classifier discrimination-free. Sicco Verwer, TU Eindhoven; Toon Calders, Eindhoven University of Technology Collective traffic forecasting Marco Lippi, Università di Firenze; Paolo Frasconi, Università di Firenze; Matteo Bertini, Università di Firenze ITCH: Information-theoretic Cluster Hierarchies Christian Böhm, University of Munich; Frank Fiedler, University of Munich; Annahita Oswald, University of Munich; Claudia Plant, Florida State University; Bianca Wackersreuther, University of Munich; Peter Wackersreuther, University of Munich Online Learning in Adversarial Lipschitz Environments Odalric-Ambrym Maillard, INRIA; Remi Munos, INRIA Lille Nord-Europe Unsupervised Trajectory Sampling Nikos Pelekis, University of Piraeus; Ioannis Kopanakis, Tech. Educational Inst. of Crete; Costas Panagiotakis, Univ. of Crete; Ioannis Theodoridis, University of Piraeus Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks Christopher Kuhlman, Virginia Tech; Anil Kumar, Virginia Tech; Madhav Marathe, Virginia Tech; Daniel Rosenkrantz, University at Albany - State University of New York; S. Ravi, University at Albany - SUNY Variational Bayesian mixture of robust CCA models Jaakko Viinikanoja, Aalto University; Arto Klami, Aalto University; Samuel Kaski, Aalto University Fast Extraction of Locally Optimal Patterns based on Consistent Pattern Function Variations Frédéric Pennerath, Supélec Large Margin Learning of Bayesian Classifiers based on Gaussian Mixture Models Franz Pernkopf, Graz University of Technology; Michael Wohlmayr, Graz University of Technology First-Order Bayes-Ball Wannes Meert, KU Leuven; Nima Taghipour, KU Leuven; Hendrik Blockeel, KU Leuven Sparse Unsupervised Dimensionality Reduction Algorithms Wenjuan Dou, Zhejiang University; Guang Dai, ; congfu Xu, ; Zhihua Zhang, Topic Models Conditioned on Relations Mirwaes Wahabzada, Fraunhofer IAIS; Zhao Xu, Fraunhofer IAIS; Kristian Kersting, Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations Joni Pajarinen, Aalto University; Jaakko Peltonen, Aalto University; Ari Hottinen, Nokia; Mikko Uusitalo, Nokia Relational Retrieval Using a Combination of Path-Constrained Random Walks Ni Lao, Carnegie Mellon University; William Cohen, Carnegie Mellon University Fast Active Exploration for Link-Based Preference Learning using Gaussian Processes Zhao Xu, Fraunhofer IAIS; Kristian Kersting, Fraunhofer IAIS; Thorsten Joachims, Cornell University Expectation Propagation for Bayesian Multi-task Feature Selection Daniel Hernández-Lobato, Université Catholique de Louva; José Miguel Hernández Lobato, Universidad Autónoma de Madrid; Thibault Helleputte, Université Catholique de Louvain; Pierre Dupont, University of Louvain Learning with Randomized Majority Votes Alexandre Lacasse, Laval University; François Laviolette, francois.laviolette@ift.ulaval.ca; Mario Marchand, Laval University; Francis Turgeon-Boutin, Laval University Classification with Sums of Separable Functions Jochen Garcke, TU Berlin k-Version-Space Multi-Class Classification based on k-Consistency Tests Evgueni Smirnov, Maastricht University; Georgi Nalbantov, Maastricht University; Nikolay Nikolaev, London University Classification and Novel Class Detection of Data Streams in A Dynamic Feature Space Mohammad Masud, University of Texas at Dallas; Qing Chen, University of Texas at Dallas; Jing Gao, University of Illinois at Urbana Champaign; Latifur Khan, University of Texas at Dallas; Jiawei Han, UIUC; Bhavani Thuraisingham, University of Texas at Dallas Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition Somayeh Danafar, Istituto Dalle Molle di Studi ; Arthur Gretton, Carnegie Mellon University; Jürgen Schmidhuber, Istituto Dalle Molle di Studi sull'Intelligenza Arti Learning from Demonstration Using MDP Induced Metrics Francisco Melo, GAIPS - INESC-ID; Manuel Lopes, University of Plymouth Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval Zakria Hussain, University College London; Alex Leung, ; Kitsuchart Pasupa, ; David Roi Hardoon, Institute for Infocomm Research, AStar; Peter Auer, ; John Shawe-Taylor, University College London Hub Gene Selection Methods for the Reconstruction of Transcription Networks José Miguel Hernández Lobato, Universidad Autónoma de Madrid; Tjeerd Dijkstra, Using Background Knowledge to Rank Itemsets Nikolaj Tatti, University of Antwerp; Michael Mampaey, University of Antwerp Recognition of instrument timbres in real polytimbral audio recordings Elzbieta Kubera, ; Alicja Wieczorkowska, Polish-Japanese Instit. of IT; Zbigniew Ras, ; Magdalena Skrzypiec, Maria Curie-Sk_odowska University in Lublin Graphical Multi-Way Models Ilkka Huopaniemi, Aalto University; Tommi Suvitaival, Aalto University School of Science and Technology, Finland; Matej Oresic, VTT Technical Research Centre of Finland; Samuel Kaski, Integrating Constraint Programming and Itemset Mining Siegfried Nijssen, Katholieke Universiteit Leuven; Tias Guns, Katholieke Universiteit Leuven Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks Eva Besada-Portas, Universidad Complutense Madrid; Sergey Plis, Mind Research Network; Jesus de la Cruz, Universidad Complutense Madrid (Spain); Terran Lane, University of New Mexico Learning with Ensemble of Randomized Trees : New Insights Vincent Pisetta, RITHME; Pierre-Emmanuel Jouve, FENICS; Djamel Zighed, ERIC Laboratory Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms B. Aditya Prakash, Carnegie Mellon University; Hanghang Tong, CMU; Nicholas Valler, University of California - Riverside; Michalis Faloutsos, University of California - Riverside; Christos Faloutsos, Carnegie Mellon University Clustering Vessel Trajectories with Alignment Kernels under Trajectory Compression Gerben De Vries, University of Amsterdam; Maarten van Someren, Adverse Drug Reaction Mining in Pharmacovigilance data using Formal Concept Analysis Jean Villerd, Loria - INRIA Nancy Grand Est; Yanncik Toussaint, Loria - INRIA Nancy Grand Est; Agnès Lillo-Lelouët, Hôpital européen Georges Pompidou Relation Extraction under Distant Supervision with External Sources Sebastian Riedel, University of Massatusetts; Limin Yao, University of Massatusetts NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification Hyungsul Kim, UIUC; Sangkyum Kim, UIUC; Tim Weninger, UIUC; Jiawei Han, UIUC; Tarek Abdelzaher, UIUC Learning Vector Fields with Spectral Filtering Lorenzo Rosasco, Mit; luca Baldassarre, DISI; annalisa Barla, DISI; alessando verri, DISI Proximal Methods for Structured Sparsity Regularization Lorenzo Rosasco, Mit; sofia mosci, disi; matteo santoro, disi; silvia villa, dima; alessando verri, DISI Hidden Conditional Ordinal Random Fields for Sequence Classification Minyoung Kim, Rutgers University; Vladimir Pavlovic, Rutgers University Conditional Ranking on Relational Data Tapio Pahikkala, University of Turku; Willem Waegeman, Ghent University; antti Airola, University of Turku; tapio Salakoski, University of Turku; bernard De Baets, Ghent University Automatic Model Adaptation for Complex Structured Domains Geoffrey Levine, University of Illinois; Gerald DeJong, University of Illinois; Li-Lun Wang, University of Illinois; Dan Roth, ; Rajhans Samdani, ; Shankar Vembu, Coniunge et Impera: Multiple-graph mining for Query-log analysis Ilaria Bordino, Sapienza University of Rome; Debora Donato, ; Ricardo Baeza-Yates, Yahoo! Research Dimension Reduction and Its Application to Model-based Exploration in Continuous Spaces Ali Nouri, Rutgers University; Michael Littman, Rutgers University Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss Krzysztof Dembczynski, insitution; Willem Waegeman, Ghent University; Weiwei Cheng, University of Marburg; Eyke Hallermeier, Induction of Concepts in Web Ontologies through Terminological Decision Trees Nicola Fanizzi, University of Bari; Claudia d' Amato, Institution; Floriana Esposito, Predicting Partial Orders: Ranking with Abstention Weiwei Cheng, University of Marburg; Eyke Hallermeier, University of Marburg A Unifying View of Multiple Kernel Learning Marius Kloft, UC Berkeley; Ulrich Rückert, UC Berkeley; Peter Bartlett, UC Berkeley Online Knowledge-Based Support Vector Machines Gautam Kunapuli, University of Wisconsin-Madison; Amina Shabbeer, Rensselaer Polytechnic Institute; Kristin Bennett, Rensselaer Polytechnic Institute; Richard Maclin, University of Minnesota, Duluth; Jude Shavlik, University of Wisconsin-Madison Mining Top-k Frequent Itemsets Through Progressive Sampling Andrea Pietracaprina, Università di Padova; Matteo Riondato, Brown University; Eli Upfal, Brown University; Fabio Vandin, Brown University Learning an Affine Transformation for Non-linear Dimensionality Reduction Pooyan Khajehpour Tadavani, University of Waterloo; Ali Ghodsi, Department of Statistics and Actuarial Science, University of Waterloo Large Scale Support Vector Learning with Structural Kernels Aliaksei Severyn, University of Trento; Alessandro Moschitti, University of Trento Fast, Effective Molecular Feature Mining by Local Optimization Albrecht Zimmermann, ; Bjoern Bringmann, ; Ulrich Rückert, UC Berkeley Gaussian processes for sample efficient reinforcement learning with RMAX-like exploration Tobias Jung, University of Texas at Austin; Peter Stone, University of Texas at Austin A Geometric View of Conjugate Priors Arvind Agarwal, University of Utah; Hal Daume, University of Utah Feature Selection for Reinforcement Learning: Evaluating Implicit State-Reward Dependency Hirotaka Hachiya, Tokyo Institute of Technology; Masashi Sugiyama, Incorporating Domain Models into Bayesian Optimization for Reinforcement Learning Aaron Wilson, Oregon State University ; Alan Fern, ; Prasad Tadepalli, Predicting labels for dyadic data Aditya Menon, UCSD; Charles Elkan, UCSD Improved MinMax Cut Graph Clustering with Nonnegative Relaxation Feiping Nie, ; Chris Ding, University of Texas at Arlington; Dijun Luo, University of Texas at Arlington; Heng Huang, University of Texas at Arlington Asking Generalized Queries to Ambiguous Oracle Jun Du, University of Western Ontario; Charles Ling, University of Western Ontario Learning Sparse Gaussian Markov Network Structure using a Greedy Coordinate Ascent Approach Katya Scheinberg, IBM Watson Research Center; Irina Rish, IBM Watson Research Center Topic Modeling for Personalized Recommendation of Volatile Items Maksims Ovsjanikovs, Stanford Univeristy; Ye Chen, Microsoft |
