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Titlebook: MICAI 2008: Advances in Artificial Intelligence; 7th Mexican Internat Alexander Gelbukh,Eduardo F. Morales Conference proceedings 2008 Spri

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楼主: hedonist
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Heuristic Methods for Hypertree Decomposition most general of such decomposition methods. Although the relationship to other structural decomposition methods has been thoroughly investigated, only little research has been done on efficient algorithms for computing generalized hypertree decompositions. In this paper we propose new heuristic alg
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Nonlinear Bayesian Filters for Training Recurrent Neural Networksive-free member of the approximate Bayesian filter family called the cubature Kalman filter. We discuss the theory of Bayesian filters, which is rooted in the state-space modeling of the dynamic system in question and the linear estimation principle. For improved numerical stability and optimal perf
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: An (In)complete Solver for Quantified Boolean Formulaslete, but it has the ability to surrender upon realizing that its deduction mechanism is becoming ineffective. Whenever this happens, . outputs a partial result which can be fed to a complete QBF solver for further processing. As our experiments show, not only . is competitive as an incomplete solve
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Strength Two Covering Arrays Construction Using a SAT Representationgh the creation of automated tools that help in the software testing process. One alternative to improve the software testing process is the creation of tools that generate testing cases in an automatic way. Through the construction of Covering Arrays (CA) it is possible to obtain a minimum set of t
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A New Framework for Local Belief Revisionn alternative procedure, “external revision” is proposed. It consists in, first, expanding the belief base by the new sentence and after that contracting by its negation. In this paper, on the one hand, we propose a new framework for local belief revision by extending the LS-model introduced by Pari
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