Titlebook: Abstraction, Reformulation and Approximation; 6th International Sy Jean-Daniel Zucker,Lorenza Saitta Conference proceedings 2005 Springer-V

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https://doi.org/10.1007/978-981-13-2104-7to generate plans that smoothly integrate actions from different domains. In this paper we present a generic approach to synthesize plans for solving planning problems involving multiple domains. The proposed approach performs search hierarchically by starting planning in one domain and considering

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John Malcolm Dowling,Pradumna Bickram Ranams has been proposed before. We describe an efficient implementation of this scheme aimed at solving real life problems. Our system is integrated into the Mozart language in such a way that user control of the abstraction mechanism is straightforward.We explain how we adapted the theoretical results

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https://doi.org/10.1007/978-981-10-7401-1pe with this problem, a learning algorithm based on an abstraction mechanism is proposed: it can infer the general model of complex events from a set of learning sequences. Events are described by means of regular expressions, and the abstraction mechanism is based on the substitution property of re

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https://doi.org/10.1007/978-981-10-7401-1vigation behaviors. However, the inference mechanism in FHHMM has seldom been studied. In this paper, we suggest an algorithm that transforms a FHHMM into a Bayesian Network in order to be able to perform inference. As a matter of fact, inference in Bayesian Network is a well-known mechanism and thi

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長(zhǎng)處

The Asian Relevance to the Subprime Crisis,grouping of words. We introduce Word Taxonomy guided Naive Bayes Learner for the Multinomial Event Model (WTNBL-MN) that exploits word taxonomy to generate compact classifiers, and Word Taxonomy Learner (WTL) for automated construction of word taxonomy from sequence data. WTNBL-MN is a generalizatio

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The Asian Relevance to the Subprime Crisis,her state transition models, it encounters the state explosion problem. The size of the state space increases exponentially with the system complexity..This paper is concerned with a method of abstracting automatically Petri nets to simpler representations, which are ordered with respect to their si