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14th PKDD / 21st ECML 2010: Barcelona, Spain
- José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag:
Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part III. Lecture Notes in Computer Science 6323, Springer 2010, ISBN 978-3-642-15938-1
Regular Papers
- Joni Pajarinen, Jaakko Peltonen
, Ari Hottinen, Mikko A. Uusitalo
Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations. 1-16 - Nikos Pelekis, Ioannis Kopanakis, Costas Panagiotakis
Unsupervised Trajectory Sampling. 17-33 - Frédéric Pennerath:
Fast Extraction of Locally Optimal Patterns Based on Consistent Pattern Function Variations. 34-49 - Franz Pernkopf
Large Margin Learning of Bayesian Classifiers Based on Gaussian Mixture Models. 50-66 - Vincent Pisetta, Pierre-Emmanuel Jouve, Djamel A. Zighed:
Learning with Ensembles of Randomized Trees : New Insights. 67-82 - Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhmann:
Entropy and Margin Maximization for Structured Output Learning. 83-98 - B. Aditya Prakash, Hanghang Tong
Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms. 99-114 - José Ramón Quevedo, Elena Montañés
Adapting Decision DAGs for Multipartite Ranking. 115-130 - Rudy Raymond
Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs. 131-147 - Sebastian Riedel, Limin Yao, Andrew McCallum:
Modeling Relations and Their Mentions without Labeled Text. 148-163 - Sergio Rodrigues de Morais, Alex Aussem:
An Efficient and Scalable Algorithm for Local Bayesian Network Structure Discovery. 164-179 - Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Selecting Information Diffusion Models over Social Networks for Behavioral Analysis. 180-195 - Katya Scheinberg, Irina Rish:
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach. 196-212 - Madeleine Seeland, Tobias Girschick, Fabian Buchwald, Stefan Kramer:
Online Structural Graph Clustering Using Frequent Subgraph Mining. 213-228 - Aliaksei Severyn, Alessandro Moschitti
Large-Scale Support Vector Learning with Structural Kernels. 229-244 - Junming Shao, Christian Böhm, Qinli Yang, Claudia Plant:
Synchronization Based Outlier Detection. 245-260 - Pannagadatta K. Shivaswamy, Tony Jebara:
Laplacian Spectrum Learning. 261-276 - Evgueni N. Smirnov, Georgi I. Nalbantov, Nikolay I. Nikolaev:
k-Version-Space Multi-class Classification Based on k-Consistency Tests. 277-292 - Philippe Rolet, Olivier Teytaud:
Complexity Bounds for Batch Active Learning in Classification. 293-305 - Bin Tong, Hao Shao, Bin-Hui Chou, Einoshin Suzuki:
Semi-supervised Projection Clustering with Transferred Centroid Regularization. 306-321 - Ioannis Tsamardinos, Giorgos Borboudakis
Permutation Testing Improves Bayesian Network Learning. 322-337 - Antti Ukkonen, Marta Arias
Example-dependent Basis Vector Selection for Kernel-Based Classifiers. 338-353 - Pedro O. S. Vaz de Melo, Leman Akoglu, Christos Faloutsos
Surprising Patterns for the Call Duration Distribution of Mobile Phone Users. 354-369 - Jaakko Viinikanoja, Arto Klami
Variational Bayesian Mixture of Robust CCA Models. 370-385 - Jean Villerd
Adverse Drug Reaction Mining in Pharmacovigilance Data Using Formal Concept Analysis. 386-401 - Mirwaes Wahabzada, Zhao Xu, Kristian Kersting:
Topic Models Conditioned on Relations. 402-417 - Yuyang Wang, Roni Khardon, Pavlos Protopapas:
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes. 418-434 - Pu Wang, Carlotta Domeniconi, Kathryn Blackmond Laskey:
Nonparametric Bayesian Clustering Ensembles. 435-450 - Hua Wang, Chris H. Q. Ding, Heng Huang:
Directed Graph Learning via High-Order Co-linkage Analysis. 451-466 - Aaron Wilson, Alan Fern, Prasad Tadepalli:
Incorporating Domain Models into Bayesian Optimization for RL. 467-482 - Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao Ren
Efficient and Numerically Stable Sparse Learning. 483-498 - Zhao Xu, Kristian Kersting, Thorsten Joachims:
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes. 499-514 - Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert
Many-to-Many Graph Matching: A Continuous Relaxation Approach. 515-530 - Fedor Zhdanov, Vladimir Vovk
Competitive Online Generalized Linear Regression under Square Loss. 531-546 - Erheng Zhong, Wei Fan, Qiang Yang, Olivier Verscheure, Jiangtao Ren
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning. 547-562 - Albrecht Zimmermann, Björn Bringmann, Ulrich Rückert:
Fast, Effective Molecular Feature Mining by Local Optimization. 563-578
Demo Papers
- Lorand Dali, Delia Rusu, Blaz Fortuna, Dunja Mladenic
AnswerArt - Contextualized Question Answering. 579-582 - Blaz Fortuna, Carolina Fortuna
Real-Time News Recommender System. 583-586 - Stefan Haun, Andreas Nürnberger
CET: A Tool for Creative Exploration of Graphs. 587-590 - Mijail A. Kabadjov, Martin Atkinson, Josef Steinberger
NewsGist: A Multilingual Statistical News Summarizer. 591-594 - Nattiya Kanhabua, Kjetil Nørvåg
QUEST: Query Expansion Using Synonyms over Time. 595-598 - Vasileios Lampos
Flu Detector - Tracking Epidemics on Twitter. 599-602 - Panagis Magdalinos, Anastasios Kapernekas, Alexandros Mpiratsis, Michalis Vazirgiannis:
X-SDR: An Extensible Experimentation Suite for Dimensionality Reduction. 603-606 - Emmanuel Müller
SOREX: Subspace Outlier Ranking Exploration Toolkit. 607-610 - Katerina Papantoniou, George Tsatsaronis
KDTA: Automated Knowledge-Driven Text Annotation. 611-614 - Tristan Snowsill
Detecting Events in a Million New York Times Articles. 615-618 - Ilija Subasic, Bettina Berendt:
Experience STORIES: A Visual News Search and Summarization System. 619-623 - Roberto Trasarti
Exploring Real Mobility Data with M-Atlas. 624-627
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