ECML-PKDD 2013
141 papers
A Bayesian Classifier for Learning from Tensorial Data
Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Fang Chen, Kotagiri Ramamohanarao A Declarative Framework for Constrained Clustering
Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain A Nearly Unbiased Matrix Completion Approach
Dehua Liu, Tengfei Zhou, Hui Qian, Congfu Xu, Zhihua Zhang A Relevance Criterion for Sequential Patterns
Henrik Grosskreutz, Bastian Lang, Daniel Trabold Adaptive Model Rules from Data Streams
Ezilda Almeida, Carlos Abreu Ferreira, João Gama AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data
Michele Berlingerio, Francesco Calabrese, Giusy Di Lorenzo, Rahul Nair, Fabio Pinelli, Marco Luca Sbodio Anonymizing Data with Relational and Transaction Attributes
Giorgos Poulis, Grigorios Loukides, Aris Gkoulalas-Divanis, Spiros Skiadopoulos AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy
Baidya Nath Saha, Gautam Kunapuli, Nilanjan Ray, Joseph A. Maldjian, Sriraam Natarajan As Strong as the Weakest Link: Mining Diverse Cliques in Weighted Graphs
Petko Bogdanov, Ben Baumer, Prithwish Basu, Amotz Bar-Noy, Ambuj K. Singh Boosting for Unsupervised Domain Adaptation
Amaury Habrard, Jean-Philippe Peyrache, Marc Sebban Cross-Domain Recommendation via Cluster-Level Latent Factor Model
Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinari, Jun Guo CSI: Community-Level Social Influence Analysis
Yasir Mehmood, Nicola Barbieri, Francesco Bonchi, Antti Ukkonen Detecting Bicliques in GF[q]
Jan Ramon, Pauli Miettinen, Jilles Vreeken Discovering Nested Communities
Nikolaj Tatti, Aristides Gionis Embedding with Autoencoder Regularization
Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi Error Prediction with Partial Feedback
William Darling, Cédric Archambeau, Shachar Mirkin, Guillaume Bouchard Evasion Attacks Against Machine Learning at Test Time
Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli Explaining Interval Sequences by Randomization
Andreas Henelius, Jussi Korpela, Kai Puolamäki Exploratory Learning
Bhavana Bharat Dalvi, William W. Cohen, Jamie Callan Fast kNN Graph Construction with Locality Sensitive Hashing
Yan-Ming Zhang, Kaizhu Huang, Guanggang Geng, Cheng-Lin Liu Greedy Part-Wise Learning of Sum-Product Networks
Robert Peharz, Bernhard C. Geiger, Franz Pernkopf Hermoupolis: A Trajectory Generator for Simulating Generalized Mobility Patterns
Nikos Pelekis, Christos Ntrigkogias, Panagiotis Tampakis, Stylianos Sideridis, Yannis Theodoridis How Robust Is the Core of a Network?
Abhijin Adiga, Anil Kumar S. Vullikanti Influence of Graph Construction on Semi-Supervised Learning
Celso André R. de Sousa, Solange O. Rezende, Gustavo E. A. P. A. Batista Inhomogeneous Parsimonious Markov Models
Ralf Eggeling, André Gohr, Pierre-Yves Bourguignon, Edgar Wingender, Ivo Grosse Itemset Based Sequence Classification
Cheng Zhou, Boris Cule, Bart Goethals Kanopy: Analysing the Semantic Network Around Document Topics
Ioana Hulpus, Conor Hayes, Marcel Karnstedt, Derek Greene, Marek Jozwowicz Learning Throttle Valve Control Using Policy Search
Bastian Bischoff, Duy Nguyen-Tuong, Torsten Koller, Heiner Markert, Alois C. Knoll Learning to Detect Patterns of Crime
Tong Wang, Cynthia Rudin, Daniel Wagner, Rich Sevieri Local Outlier Detection with Interpretation
Xuan-Hong Dang, Barbora Micenková, Ira Assent, Raymond T. Ng MONIC and Followups on Modeling and Monitoring Cluster Transitions
Myra Spiliopoulou, Eirini Ntoutsi, Yannis Theodoridis, René Schult Multi-Core Structural SVM Training
Kai-Wei Chang, Vivek Srikumar, Dan Roth Noisy Matrix Completion Using Alternating Minimization
Suriya Gunasekar, Ayan Acharya, Neeraj Gaur, Joydeep Ghosh OpenML: A Collaborative Science Platform
Jan N. van Rijn, Bernd Bischl, Luís Torgo, Bo Gao, Venkatesh Umaashankar, Simon Fischer, Patrick Winter, Bernd Wiswedel, Michael R. Berthold, Joaquin Vanschoren Parallel Boosting with Momentum
Indraneel Mukherjee, Kevin Robert Canini, Rafael M. Frongillo, Yoram Singer Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them
Albert Bifet, Jesse Read, Indre Zliobaite, Bernhard Pfahringer, Geoff Holmes Position Preserving Multi-Output Prediction
Zubin Abraham, Pang-Ning Tan, Perdinan, Julie Winkler, Shiyuan Zhong, Malgorzata Liszewska Prediction with Model-Based Neutrality
Kazuto Fukuchi, Jun Sakuma, Toshihiro Kamishima Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions
Rodrigo C. Barros, Ricardo Cerri, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho Protein Function Prediction Using Dependence Maximization
Guo-Xian Yu, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang PSSDL: Probabilistic Semi-Supervised Dictionary Learning
Behnam Babagholami-Mohamadabadi, Ali Zarghami, Mohammadreza Zolfaghari, Mahdieh Soleymani Baghshah Reduced-Rank Local Distance Metric Learning
Yinjie Huang, Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos Regret Bounds for Reinforcement Learning with Policy Advice
Mohammad Gheshlaghi Azar, Alessandro Lazaric, Emma Brunskill SCCQL : A Constraint-Based Clustering System
Antoine Adam, Hendrik Blockeel, Sander Govers, Abram Aertsen Score as You Lift (SAYL): A Statistical Relational Learning Approach to Uplift Modeling
Houssam Nassif, Finn Kuusisto, Elizabeth S. Burnside, David Page, Jude W. Shavlik, Vítor Santos Costa Semi-Supervised Gaussian Process Ordinal Regression
P. K. Srijith, Shirish K. Shevade, S. Sundararajan SNNAP: Solver-Based Nearest Neighbor for Algorithm Portfolios
Marco Collautti, Yuri Malitsky, Deepak Mehta, Barry O'Sullivan Socially Enabled Preference Learning from Implicit Feedback Data
Julien Delporte, Alexandros Karatzoglou, Tomasz Matuszczyk, Stéphane Canu Solving Relational MDPs with Exogenous Events and Additive Rewards
Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern Taxonomic Prediction with Tree-Structured Covariances
Matthew B. Blaschko, Wojciech Zaremba, Arthur Gretton Towards Robot Skill Learning: From Simple Skills to Table Tennis
Jan Peters, Jens Kober, Katharina Mülling, Oliver Krömer, Gerhard Neumann Trend Mining in Dynamic Attributed Graphs
Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures
Konstantinos Bousmalis, Stefanos Zafeiriou, Louis-Philippe Morency, Maja Pantic, Zoubin Ghahramani