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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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Finding Good Starting Points for Solving Nonlinear Constrained Optimization Problems by Parallel Decing constraints and complicating variables. We develop heuristics for finding good starting points that are critical for resolving the complicating constraints and variables. In our experimental evaluations of 255 benchmarks, our approach can solve 89.4% of the problems, whereas the best existing solvers can only solve 42.8%.
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Comparing Distance Measures with Visual Methodsn the mutations with regard to the HXB2 reference sequence. In a first step, we reduce data dimensionality in order to subsequently analyze the distance measure’s performance in terms of its ability to separate classes.
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Semantic Annotation and Question Answering of Statistical Graphsroject are addressed in this paper: (1) improve the efficiency of searching statistical graph knowledge and (2) facilitate sophisticated question answering about statistical graph knowledge. In particular, semantic annotation and query answering across statistical graphs with OWL ontologies are described.
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Heuristic Methods for Hypertree Decompositionorithms for the construction of generalized hypertree decompositions. We evaluate and compare our approaches experimentally on both industrial and academic benchmark instances. Our experiments show that our algorithms improve previous heuristic approaches for this problem significantly.
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heory, etc., where the Lebesgue integral makes its presence felt throughout. The book can also be useful to students in the faculties of mathematics, physics, computer science, engineering, life sciences, as an introduction to a more in-depth study of measure theory..978-3-030-60162-1978-3-030-60163-8Series ISSN 2296-4568 Series E-ISSN 2296-455X
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