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| Invited Talks Data Analysis in the Life Sciences -- Sparking Ideas Machine Learning for Natural Language Processing (and Vice Versa?) Statistical Relational Learning: An Inductive Logic Programming Perspective Recent Advances in Mining Time Series Data Focus the Mining Beacon: Lessons and Challenges from the World of E-Commerce Data Streams and Data Synopses for Massive Data Sets (Invited Talk) Long Papers Clustering and Metaclustering with Nonnegative Matrix Decompositions A SAT-Based Version Space Algorithm for Acquiring Constraint Satisfaction Problems Estimation of Mixture Models Using Co-EM Nonrigid Embeddings for Dimensionality Reduction Multi-view Discriminative Sequential Learning Robust Bayesian Linear Classifier Ensembles An Integrated Approach to Learning Bayesian Networks of Rules Thwarting the Nigritude Ultramarine: Learning to Identify Link Spam Rotational Prior Knowledge for SVMs On the LearnAbility of Abstraction Theories from Observations for Relational Learning Beware the Null Hypothesis: Critical Value Tables for Evaluating Classifiers Kernel Basis Pursuit Hybrid Algorithms with Instance-Based Classification Learning and Classifying Under Hard Budgets Training Support Vector Machines with Multiple Equality Constraints A Model Based Method for Automatic Facial Expression Recognition Margin-Sparsity Trade-Off for the Set Covering Machine Learning from Positive and Unlabeled Examples with Different Data Distributions Towards Finite-Sample Convergence of Direct Reinforcement Learning …… Short Papers Author Index |
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