2009 International Conference on Information Technology and Computer Science 2009
DOI: 10.1109/itcs.2009.203
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Cited by 2 publications
(1 citation statement)
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“…The structure of the model can be represented by knowledge framework, then the reasoning trees are established according to the fact base and the knowledge base. Thus a knowledge-based automatic model selection method is proposed by integrating the experience and expert knowledge [2][3][4] . Gradient-based approaches are developed for model selection and present impressive gain in time complexity [5][6] , but they may fall into bad local minima.…”
Section: Introductionmentioning
confidence: 99%
“…The structure of the model can be represented by knowledge framework, then the reasoning trees are established according to the fact base and the knowledge base. Thus a knowledge-based automatic model selection method is proposed by integrating the experience and expert knowledge [2][3][4] . Gradient-based approaches are developed for model selection and present impressive gain in time complexity [5][6] , but they may fall into bad local minima.…”
Section: Introductionmentioning
confidence: 99%