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Titlebook: Advances in Soft Computing; 9th Mexican Internat Grigori Sidorov,Arturo Hernández Aguirre,Carlos Al Conference proceedings 2010 Springer Be

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發(fā)表于 2025-3-21 16:49:50 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Soft Computing
期刊簡稱9th Mexican Internat
影響因子2023Grigori Sidorov,Arturo Hernández Aguirre,Carlos Al
視頻videohttp://file.papertrans.cn/150/149750/149750.mp4
發(fā)行地址State-of-the-art research.Fast-track conference proceedings.Unique visibility
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Soft Computing; 9th Mexican Internat Grigori Sidorov,Arturo Hernández Aguirre,Carlos Al Conference proceedings 2010 Springer Be
影響因子Artificial intelligence (AI) is a branch of computer science that models the human ability of reasoning, usage of human language and organization of knowledge, solving problems and practically all other human intellectual abilities. Usually it is characterized by the application of heuristic methods because in the majority of cases there is no exact solution to this kind of problem. Soft computing can be viewed as a branch of AI that deals with the problems that explicitly contain incomplete or complex information, or are known to be impossible for direct computation, i.e., these are the same problems as in AI but viewed from the perspective of their computation. The Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized by the Mexican Society for Artificial Intelligence (SMIA), is a major international AI forum and the main event in the academic life of the country’s growing AI community. In 2010, SMIA celebrated 10 years of activity related to the organization of MICAI as is represented in its slogan “Ten years on the road with AI”. MICAI conferences traditionally publish high-quality papers in all areas of artifici
Pindex Conference proceedings 2010
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Object Class Recognition Using SIFT and Bayesian Networks to translation, rotation, scale, illumination and partial occlusion. However, they have poor performance for classification tasks. In this work, SIFT features are used to solve problems of object class recognition in images using a two-step process. In its first step, the proposed method performs c
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A Fast Fuzzy Cocke-Younger-Kasami Algorithm for DNA and RNA Strings Analysisapplied to DNA strings. We propose a variation of the original CYK algorithm where we prove that the order of the new CYK algorithm is O(.). We prove that the new algorithm only use 2.-1 memory localities. We use a variation of the CYK algorithm, where the free context language can be fuzzy. The fuz
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Supervised Probabilistic Classification Based on Gaussian Copulassks. A copula is a distribution function with the implicit capacity to model non linear dependencies via concordance measures, such as Kendall’s .. Hence, this work studies the performance of a simple probabilistic classifier based on the Gaussian copula function. Without additional preprocessing of
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