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Titlebook: Artificial Intelligence: Methodology, Systems, and Applications; 15th International C Allan Ramsay,Gennady Agre Conference proceedings 2012

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发表于 2025-3-21 19:46:16 | 显示全部楼层 |阅读模式
期刊全称Artificial Intelligence: Methodology, Systems, and Applications
期刊简称15th International C
影响因子2023Allan Ramsay,Gennady Agre
视频video
发行地址Fast track conference proceedings.Unique visibility.State of the art resarch
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Artificial Intelligence: Methodology, Systems, and Applications; 15th International C Allan Ramsay,Gennady Agre Conference proceedings 2012
影响因子This book constitutes the refereed proceedings of the 15th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2012, held in Varna, Bulgaria in September 2012. .The 36 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on natural language processing, social networks, knowledge representation and reasoning, machine learning, planning and agents, search, and computer vision.
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发表于 2025-3-22 00:04:41 | 显示全部楼层
https://doi.org/10.1007/0-387-35138-8 a method called CWA(1) that computes the frequency of rare words that appear only once in both compared papers. This method has been found as an efficient measure to check whether two papers are similar.
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Conference proceedings 2012, AIMSA 2012, held in Varna, Bulgaria in September 2012. .The 36 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on natural language processing, social networks, knowledge representation and reasoning, machine
发表于 2025-3-22 19:29:51 | 显示全部楼层
Conference proceedings 2012issions. The papers are organized in topical sections on natural language processing, social networks, knowledge representation and reasoning, machine learning, planning and agents, search, and computer vision.
发表于 2025-3-23 00:30:50 | 显示全部楼层
Feedforward Neural Network Methodologythe surrounding synsets. Moreover, the wordnet structure is modelled on the level of links between lexical units. Evaluation of the algorithm and comparison with top algorithm from literature in large scale experiments on Princeton WordNet is presented.
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Feedforward Neural Network Methodologyf models in two problems in the domain of Natural Language Processing. Metaheuristics used significantly improve performance in comparison to the default parameter selected manually by domain experts.
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