Titlebook: A Guided Tour of Artificial Intelligence Research; Volume II: AI Algori Pierre Marquis,Odile Papini,Henri Prade Book 2020 Springer Nature S

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Schema Design and Text Analysis,a which actually contains high-quality solutions, whereas intensification aims at locating the best combinations within a limited region of the search space. Finally, we describe two applications of meta-heuristics to typical artificial intelligence problems: satisfiability of Boolean formulas, and

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https://doi.org/10.1057/9781137023100hods for clustering: prototype-based, generative-based, density-based, spectral based, hierarchical, and conceptual and visit the validation techniques available. For supervised learning, the generative and discriminative approaches are contrasted and a wide variety of linear methods in which we inc

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Theory and Applications of Computabilitytic process and expert supervision. This chapter is dedicated to constrained clustering. In particular, after a brief overview of constrained clustering and associated issues, it presents the three main approaches in the domain. It also discusses exploratory data mining by presenting models that dev

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