| Regular Papers An Axiomatic Approach to Feature Term Generalization Lazy Indeuction of Descriptions for Relational Case-Based Learning Estimating the Predictive Accuracy of a Classifier Improving the Robustness and Encoding Complexity of Behavioural Clones A Framework for Learning Rules from Multiple Data Wrapping Web Information Providers by Transducer Induction Learning While Exploring：Bridging the Gaps in the Eligibility Traces A Reinforcement Learning Algorithm Applied to Simplified Two-Player Texas Hold'em Poker Speeding Up Relational Reinforcement Learning through the Use of an Incermental First Order Decision Tree Learner Analysis of the Performance of AdaBoost.M2 for the Simulated Digit-Recognition-Example Iterative Double Clustering for Unsupervised and Semi-supervised Learning On the Practice of Branching Program Boosting A Simple Approach to Ordinal Classification Fitness Distance Correlation of Neural Error Surfaces：A Scalable，Continuous Optimization Problem Extraction of Recurrent Patterns from Stratified Ordered Trees Understanding Probabilistic Classifiers Efficiently Determining the Starting Sample Size for Progressive Sampling Using Subclasses to Improve Classification Learning Learning What People（Don't） Want Towards a Universal Theory of Artificial Intelligence Based on Algorithmic Probability and Sequential Decisions Convergence and Error Bounds for Universal Prediction of Nonbinary Sequences Consensus Decision Trees：Using Consensus Hierarchical Clustering for Data Relabelling and Reduction Learning of Variability for Invariant Statistical Pattern Recognition The Evaluation of Predective Learners:Some Theoretical and Empirical Results An Evolutionary Algorithm for Cost-Sensivive Decision Rule Learning A Mixture Approach to Novelty Detection Using Training Data with Outliers …… Invited Papers Author Index |
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