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Titlebook: Advances in Artificial Intelligence; 15th Conference of t Concha Bielza,Antonio Salmerón,Juan M. Corchado Conference proceedings 2013 Sprin

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發(fā)表于 2025-3-21 17:13:48 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Artificial Intelligence
期刊簡稱15th Conference of t
影響因子2023Concha Bielza,Antonio Salmerón,Juan M. Corchado
視頻videohttp://file.papertrans.cn/147/146707/146707.mp4
發(fā)行地址Fast conference proceedings.State-of-the-art report.Up to date results
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Artificial Intelligence; 15th Conference of t Concha Bielza,Antonio Salmerón,Juan M. Corchado Conference proceedings 2013 Sprin
影響因子This book constitutes the refereed proceedings of the 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 20013, held in Madrid, Spain, in September 2013. The 27 revised full papers presented were carefully selected from 66 submissions. The papers are organized in topical sections on Constraints, search and planning, intelligent Web and information retrieval, fuzzy systems, knowledge representation, reasoning and logic, machine learning, multiagent systems, multidisciplinary topics and applications, metaheuristics, uncertainty in artificial intelligence.
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Vulnerable Periods in Developing Brain, for dealing with the volume dimension. As a result, we obtain a multimedia search prototype that consumes compressed RDF metadata. This approach efficiently resolves a subset of SPARQL queries by implementing representative multimedia searches, and also provides full-text search in compressed space.
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Eric Lucet,Christophe Grand,Philippe Bidaud paper we evaluate several methods’ performance using time-aware evaluation methodologies. Results from our experiments show that the discrimination power of different time features varies considerably, and moreover, the accuracy achieved by the methods can be heavily penalized when using a more realistic evaluation methodology.
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John Hunter’s Contributions to Neuroscienced have been evaluated using AUC performance metric and statistical tests. The results show that SMOTE, the well-known intelligent resampling method, is one of the best candidates to be used, improving the results obtained by some of its variants that are successful in the context of class imbalance.
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https://doi.org/10.1007/978-81-322-1581-3he websites. User profile ontology evolves constantly and is populated with assertions of individuals and relationships of interest and intention from these collective knowledge repositories. Experimental results indicate strongly that the proposed method automatically generates, correctly, the interests and intentions of a user profile.
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Conference proceedings 2013sections on Constraints, search and planning, intelligent Web and information retrieval, fuzzy systems, knowledge representation, reasoning and logic, machine learning, multiagent systems, multidisciplinary topics and applications, metaheuristics, uncertainty in artificial intelligence.
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