ECML-PKDD 2011
142 papers
A Shapley Value Approach for Influence Attribution
Panagiotis Papapetrou, Aristides Gionis, Heikki Mannila Active Learning with Evolving Streaming Data
Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoff Holmes Active Supervised Domain Adaptation
Avishek Saha, Piyush Rai, Hal Daumé Iii, Suresh Venkatasubramanian, Scott L. DuVall Activity Recognition with Mobile Phones
Jordan Frank, Shie Mannor, Doina Precup Clustering Rankings in the Fourier Domain
Stéphan Clémençon, Romaric Gaudel, Jérémie Jakubowicz Datum-Wise Classification: A Sequential Approach to Sparsity
Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari Differentiating Code from Data in X86 Binaries
Richard Wartell, Yan Zhou, Kevin W. Hamlen, Murat Kantarcioglu, Bhavani Thuraisingham Gaussian Logic for Predictive Classification
Ondrej Kuzelka, Andrea Szabóová, Matej Holec, Filip Zelezný Higher Order Contractive Auto-Encoder
Salah Rifai, Grégoire Mesnil, Pascal Vincent, Xavier Muller, Yoshua Bengio, Yann N. Dauphin, Xavier Glorot Influence and Passivity in Social Media
Daniel M. Romero, Wojciech Galuba, Sitaram Asur, Bernardo A. Huberman Is There a Best Quality Metric for Graph Clusters?
Hélio Marcos Paz de Almeida, Dorgival Olavo Guedes Neto, Wagner Meira Jr., Mohammed J. Zaki Learning Monotone Nonlinear Models Using the Choquet Integral
Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier Manifold Coarse Graining for Online Semi-Supervised Learning
Mehrdad Farajtabar, Amirreza Shaban, Hamidreza Rabiee, Mohammad H. Rohban Minimum Neighbor Distance Estimators of Intrinsic Dimension
Gabriele Lombardi, Alessandro Rozza, Claudio Ceruti, Elena Casiraghi, Paola Campadelli MOA: A Real-Time Analytics Open Source Framework
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl Multi-Label Ensemble Learning
Chuan Shi, Xiangnan Kong, Philip S. Yu, Bai Wang Multi-Subspace Representation and Discovery
Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang Multimodal Nonlinear Filtering Using Gauss-Hermite Quadrature
Hannes P. Saal, Nicolas Manfred Otto Heess, Sethu Vijayakumar Network Regression with Predictive Clustering Trees
Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Saso Dzeroski Novel Fusion Methods for Pattern Recognition
Muhammad Awais, Fei Yan, Krystian Mikolajczyk, Josef Kittler On Oblique Random Forests
Bjoern H. Menze, B. Michael Kelm, Daniel Nicolas Splitthoff, Ullrich Köthe, Fred A. Hamprecht On the Stratification of Multi-Label Data
Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis P. Vlahavas Parallel Structural Graph Clustering
Madeleine Seeland, Simon A. Berger, Alexandros Stamatakis, Stefan Kramer Preference-Based Policy Learning
Riad Akrour, Marc Schoenauer, Michèle Sebag Regularized Sparse Kernel Slow Feature Analysis
Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer Resource-Aware On-Line RFID Localization Using Proximity Data
Christoph Scholz, Stephan Doerfel, Martin Atzmueller, Andreas Hotho, Gerd Stumme Rule-Based Active Sampling for Learning to Rank
Rodrigo M. Silva, Marcos André Gonçalves, Adriano Veloso ShareBoost: Boosting for Multi-View Learning with Performance Guarantees
Jing Peng, Costin Barbu, Guna Seetharaman, Wei Fan, Xian Wu, Kannappan Palaniappan Smooth Receiver Operating Characteristics (smROC) Curves
William Klement, Peter A. Flach, Nathalie Japkowicz, Stan Matwin Sparse Kernel-SARSA(λ) with an Eligibility Trace
Matthew W. Robards, Peter Sunehag, Scott Sanner, Bhaskara Marthi Tensor Factorization Using Auxiliary Information
Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima The MASH Project
François Fleuret, Philip Abbet, Charles Dubout, Leonidas Lefakis The VC-Dimension of SQL Queries and Selectivity Estimation Through Sampling
Matteo Riondato, Mert Akdere, Ugur Çetintemel, Stanley B. Zdonik, Eli Upfal Traffic Jams Detection Using Flock Mining
Rebecca Ong, Fabio Pinelli, Roberto Trasarti, Mirco Nanni, Chiara Renso, Salvatore Rinzivillo, Fosca Giannotti Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms
Danai Koutra, Tai-You Ke, U Kang, Duen Horng Chau, Hsing-Kuo Kenneth Pao, Christos Faloutsos Α-Clusterable Sets
Gerasimos Antzoulatos, Michael N. Vrahatis