ECML/PKDD '03 - Dubrovnik

ECML/PKDD Conference

The 14th European Conference on Machine Learning (ECML) and the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) were co-located in Cavtat, a small tourist town near Dubrovnik, Croatia, on September 22-26, 2003. Co-ordination of the two conferences provided ample opportunities for cross-fertilization between the two areas, and followed the success of jointly organized ECML/PKDD in 2001 and 2002.

Categories

Top » Computer Science » Machine Learning


Invited Talk
225 views, 1:02:10 Taking causality seriously: Propensity score methodology applied to estimate the effects of marketing interventions - Best PKDD paperTaking causality seriously: Propensity score methodology applied to estimate the ... Donald Rubin Donald Rubin	55 views, 1:10:52 invited talk From Knowledge-based Systems to Skill-based Systems: Sailing as a Machine Learning ChallengeFrom Knowledge-based Systems to Skill-based Systems: Sailing as a Machine ... Pieter Adriaans Pieter Adriaans 1 comment	205 views, 57:39 Next Generation Data Mining Tools: Power laws and self-similarity for graphs, streams and traditional dataNext Generation Data Mining Tools: Power laws and self-similarity for ... Christos Faloutsos Christos Faloutsos 1 comment	162 views, 58:34 Two-eyed algorithms and problems - Best ECML paperTwo-eyed algorithms and problems - Best ECML paper Leo Breiman Leo Breiman
Lecture
102 views, 26:35 A Decomposition Of Classes Via Clustering To Explain And Improve Naive BayesA Decomposition Of Classes Via Clustering To Explain And Improve ... Irina Rish Irina Rish	205 views, 21:28 Color Image Segmentation: Kernel Do the Feature SpaceColor Image Segmentation: Kernel Do the Feature Space Jianguo Lee Jianguo Lee 1 comment	68 views, 24:24 Classification Approach Towards Ranking and SortingClassification Approach Towards Ranking and Sorting Shyamsundar Rajaram Shyamsundar Rajaram	91 views, 30:39 Logistic Model Trees - Best Student PaperLogistic Model Trees - Best Student Paper Niels Landwehr Niels Landwehr	84 views, 22:36 Optimizing Local Probability Models for Statistical Parsing - Best Student Paper Runner-upOptimizing Local Probability Models for Statistical Parsing - Best Student ... Kristina Toutanova Kristina Toutanova
29 views, 32:15 Text Categorisation Using Document ProfilingText Categorisation Using Document Profiling Bernhard Pfahringer Bernhard Pfahringer	48 views, 25:33 Using Belief Networks and Fisher Kernels for Structured Document ClassificationUsing Belief Networks and Fisher Kernels for Structured Document Classification Ludovic Denoyer Ludovic Denoyer 1 comment	117 views, 28:31 Improving SVM Text Classification Performance through Threshold AdjustmentImproving SVM Text Classification Performance through Threshold Adjustment James Shanahan James Shanahan	75 views, 17:02 Application of Inductive Logic Programming to Structure-Based Drug DesignApplication of Inductive Logic Programming to Structure-Based Drug Design David P. Enot David P. Enot	86 views, 30:45 Efficient Statistical Pruning of Association RulesEfficient Statistical Pruning of Association Rules Alan Ableson Alan Ableson
18 views, 32:55 Minimal k-Free Representations of Frequent SetsMinimal k-Free Representations of Frequent Sets Toon Calders Toon Calders	92 views, 29:54 Majority Classification by means of Association RulesMajority Classification by means of Association Rules Elena Baralis Elena Baralis	38 views, 30:23 Explaining Text Clustering Results using Semantic StructuresExplaining Text Clustering Results using Semantic Structures Andreas Hotho Andreas Hotho	25 views, 21:18 Knowledge DiscoveryKnowledge Discovery Marko Grobelnik Marko Grobelnik	21 views, 05:17 Best paper awards announcementBest paper awards announcement Dunja Mladenić Dunja Mladenić
46 views, 31:24 Topic Learning From Few ExamplesTopic Learning From Few Examples Shivakumar Vaithyanathan Shivakumar Vaithyanathan	37 views, 31:36 A Simple Algorithm for Topic Identification in 0-1 DataA Simple Algorithm for Topic Identification in 0-1 Data Jouni K Seppanen Jouni K Seppanen