We invite the submission of extended abstracts and papers on all aspects of machine learning and related disciplines, including, but not limited to
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‣Kernel Methods
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‣Web/Link Mining
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‣Bayesian Networks
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‣Case-based Learning
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‣Computational Learning Theory
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‣Data Mining
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‣Evolutionary Computation
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‣Hybrid Learning Systems
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‣Graphical Models
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‣Inductive Learning
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‣Inductive Logic Programming
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‣Knowledge Discovery in Databases
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‣Language Learning
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‣Learning and Problem Solving
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‣Learning by Analogy
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‣Learning in Multi-Agent Systems
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‣Learning in Dynamic Domains
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‣Learning for Bioinformatics
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‣Multi-strategy Learning
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‣Neural Networks
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‣Reinforcement Learning
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‣Robot Learning
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‣Scientific Discovery
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‣Meta-Learning
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‣Statistical Learning
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‣Probabilistic Logic Learning
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‣Computational models of Human Learning
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‣Learning for Language and Speech
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‣Applications of Machine Learning
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‣Learning and Ubiquitous Computing
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