15. PKDD / 22. ECML 2011:
Athens, Greece
Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis (Eds.):
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part III.
Lecture Notes in Computer Science 6913 Springer 2011, ISBN 978-3-642-23807-9
Regular Papers
- Matthew W. Robards, Peter Sunehag, Scott Sanner, Bhaskara Marthi:
Sparse Kernel-SARSA(λ) with an Eligibility Trace.
1-17

- Daniel M. Romero, Wojciech Galuba, Sitaram Asur, Bernardo A. Huberman:
Influence and Passivity in Social Media.
18-33

- Constantin A. Rothkopf, Christos Dimitrakakis:
Preference Elicitation and Inverse Reinforcement Learning.
34-48

- Shounak Roychowdhury, Sarfraz Khurshid:
A Novel Framework for Locating Software Faults Using Latent Divergences.
49-64

- Ulrich Rückert, Marius Kloft:
Transfer Learning with Adaptive Regularizers.
65-80

- Hannes P. Saal, Nicolas M. O. Heess, Sethu Vijayakumar:
Multimodal Nonlinear Filtering Using Gauss-Hermite Quadrature.
81-96

- Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian, Scott L. DuVall:
Active Supervised Domain Adaptation.
97-112

- François Schnitzler, Sourour Ammar, Philippe Leray, Pierre Geurts, Louis Wehenkel:
Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation.
113-128

- Christoph Scholz, Stephan Doerfel, Martin Atzmueller, Andreas Hotho, Gerd Stumme:
Resource-Aware On-line RFID Localization Using Proximity Data.
129-144

- Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis P. Vlahavas:
On the Stratification of Multi-label Data.
145-158

- Joseph Selman, Alan Fern:
Learning First-Order Definite Theories via Object-Based Queries.
159-174

- Aliaksei Severyn, Alessandro Moschitti:
Fast Support Vector Machines for Structural Kernels.
175-190

- Mohak Shah:
Generalized Agreement Statistics over Fixed Group of Experts.
191-206

- Hao Shao, Bin Tong, Einoshin Suzuki:
Compact Coding for Hyperplane Classifiers in Heterogeneous Environment.
207-222

- Chuan Shi, Xiangnan Kong, Philip S. Yu, Bai Wang:
Multi-label Ensemble Learning.
223-239

- Rodrigo Silva, Marcos André Gonçalves, Adriano Veloso:
Rule-Based Active Sampling for Learning to Rank.
240-255

- Madeleine Seeland, Simon A. Berger, Alexandros Stamatakis, Stefan Kramer:
Parallel Structural Graph Clustering.
256-272

- Nataliya Sokolovska:
Aspects of Semi-supervised and Active Learning in Conditional Random Fields.
273-288

- Athina Spiliopoulou, Amos J. Storkey:
Comparing Probabilistic Models for Melodic Sequences.
289-304

- Suvrit Sra:
Fast Projections onto ℓ1, q -Norm Balls for Grouped Feature Selection.
305-317

- Suvrit Sra, Anoop Cherian:
Generalized Dictionary Learning for Symmetric Positive Definite Matrices with Application to Nearest Neighbor Retrieval.
318-332

- Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Saso Dzeroski:
Network Regression with Predictive Clustering Trees.
333-348

- Marco Stolpe, Katharina Morik:
Learning from Label Proportions by Optimizing Cluster Model Selection.
349-364

- Mahito Sugiyama, Akihiro Yamamoto:
The Minimum Code Length for Clustering Using the Gray Code.
365-380

- Wenbin Tang, Honglei Zhuang, Jie Tang:
Learning to Infer Social Ties in Large Networks.
381-397

- Nikolaj Tatti, Jilles Vreeken:
Comparing Apples and Oranges - Measuring Differences between Data Mining Results.
398-413

- Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier:
Learning Monotone Nonlinear Models Using the Choquet Integral.
414-429

- Selen Uguroglu, Jaime G. Carbonell:
Feature Selection for Transfer Learning.
430-442

- Nicolas Usunier, Massih-Reza Amini, Cyril Goutte:
Multiview Semi-supervised Learning for Ranking Multilingual Documents.
443-458

- Matthijs van Leeuwen, Arno J. Knobbe:
Non-redundant Subgroup Discovery in Large and Complex Data.
459-474

- Mirwaes Wahabzada, Kristian Kersting:
Larger Residuals, Less Work: Active Document Scheduling for Latent Dirichlet Allocation.
475-490

- Huaiyu Wan, Youfang Lin, Zhihao Wu, Houkuan Huang:
A Community-Based Pseudolikelihood Approach for Relationship Labeling in Social Networks.
491-505

- Tao Wang, Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad:
Correcting Bias in Statistical Tests for Network Classifier Evaluation.
506-521

- Richard Wartell, Yan Zhou, Kevin W. Hamlen, Murat Kantarcioglu, Bhavani M. Thuraisingham:
Differentiating Code from Data in x86 Binaries.
522-536

- Jiho Yoo, Seungjin Choi:
Bayesian Matrix Co-Factorization: Variational Algorithm and Cramér-Rao Bound.
537-552

- Ping Zhang, Zoran Obradovic:
Learning from Inconsistent and Unreliable Annotators by a Gaussian Mixture Model and Bayesian Information Criterion.
553-568

- Yi Zhang, Dingding Wang, Tao Li:
iDVS: An Interactive Multi-document Visual Summarization System.
569-584

- Yu Zhang, Dit-Yan Yeung:
Discriminative Experimental Design.
585-596

- Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoff Holmes:
Active Learning with Evolving Streaming Data.
597-612

Demo Papers
- Omar Ali, Ilias N. Flaounas, Tijl De Bie, Nello Cristianini:
Celebrity Watch: Browsing News Content by Exploiting Social Intelligence.
613-616

- Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl:
MOA: A Real-Time Analytics Open Source Framework.
617-620

- Fabio Fassetti, Gianluigi Greco, Giorgio Terracina:
L-SME: A System for Mining Loosely Structured Motifs.
621-625

- François Fleuret, Philip Abbet, Charles Dubout, Leonidas Lefakis:
The MASH Project.
626-629

- Jordan Frank, Shie Mannor, Doina Precup:
Activity Recognition with Mobile Phones.
630-633

- Bart Goethals, Sandy Moens, Jilles Vreeken:
MIME: A Framework for Interactive Visual Pattern Mining.
634-637

- Sotiris Karavarsamis, Nikos Ntarmos, Konstantinos Blekas:
InFeRno - An Intelligent Framework for Recognizing Pornographic Web Pages.
638-641

- Rosa Meo, Elena Roglia, Enrico Ponassi:
MetaData Retrieval: A Software Prototype for the Annotation of Maps with Social Metadata.
642-645

- Robert Neumayer, George Tsatsaronis, Kjetil Nørvåg:
TRUMIT: A Tool to Support Large-Scale Mining of Text Association Rules.
646-649

- Rebecca Ong, Fabio Pinelli, Roberto Trasarti, Mirco Nanni, Chiara Renso, Salvatore Rinzivillo, Fosca Giannotti:
Traffic Jams Detection Using Flock Mining.
650-653

- Katerina Vrotsou, Natalia V. Andrienko, Gennady L. Andrienko, Piotr Jankowski:
Exploring City Structure from Georeferenced Photos Using Graph Centrality Measures.
654-657

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