Titlebook: Machine Learning: ECML-98; 10th European Confer Claire Nédellec,Céline Rouveirol Conference proceedings 1998 Springer-Verlag Berlin Heidelb

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Learning in agent-oriented worlds,lex and dynamic environments. These agent-oriented worlds can range from autonomous underwater surveillance vehicles to web-based softbots, and present a variety of challenges and opportunities for machine learning. The complexity and variety of these worlds suggests the need for approaches involvin

overture

Learning verbal transitivity using loglinear models,about the phrases or clauses a verb goes with can be computationally learned from an automatically tagged corpus with 9,333,555 words. We will use loglinear modeling to describe the relation between the acquired counts for the part-of-speech tags co-occurring with the verbs on predetermined position

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anatomical

Inference of finite automata: Reducing the search space with an ordering of pairs of states,t several criteria to order the exploration of the corresponding search space. Three criteria are shown to have a very good behavior with respect to the pruning they imply in the search space. Best results have been obtained for the prefix ordering. We have also worked on a new dynamic ordering base

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