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Semantic Scholar15. PKDD / 22. ECML 2011: Athens, Greece
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FacebookDimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis:
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
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 - 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 - Aliaksei Severyn, Alessandro Moschitti:
Fast Support Vector Machines for Structural Kernels. 175-190 - Hao Shao, Bin Tong, Einoshin Suzuki:
Compact Coding for Hyperplane Classifiers in Heterogeneous Environment. 207-222 - Rodrigo M. 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 - 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 - 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 - 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 - 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 - 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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last updated on 2017-08-16 21:49 CEST by the dblp team