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Titlebook: AI*IA 2003: Advances in Artificial Intelligence; 8th Congress of the Amedeo Cappelli,Franco Turini Conference proceedings 2003 Springer-Ve

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https://doi.org/10.1007/978-3-540-75755-9KM-procedure is based. We first provide some background on Abductive Logic Programming and the KM-procedure and then formally present the extension, named AKM-procedure. The usefulness of the extension is shown by means of some simple examples.
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Xin He,Marcus Holm,Maya Neytchevastandards in these domains: from (more or less) standardized layouts, in scientific papers, to documents with almost no standard, in historical cultural heritage material. Experimental results in both domains and a comparison with the Progol system assess the advantages that the exploitation of INTHELEX can yield.
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Applied Parallel and Scientific Computingdiction. We exploit the use of bidirectional recurrent neural networks (BRNNs) as a filtering method to refine the predictions of the SVM classifier. Finally, we introduce a simple but effective idea to enforce constraints into secondary structure prediction based on finite-state automata (FSA) and Viterbi algorithm.
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Applied Parallel and Scientific Computinge method uses a Hopfield neural network with the mean field annealing (MFA) variant. The experimental results and a comparative study with other two methods are presented. The new method has a similar capacity to solve large problem instances, regular level of solution quality and excellent execution time with respect to other methods.
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https://doi.org/10.1007/978-3-319-12493-3o wrong classifications. We present an abductive approach to (help to) choose which classification rule to apply when a new example with missing information needs to be classified, using knowledge about the domain.
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