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

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書(shū)目名稱(chēng)Artificial Intelligence: Methodology, Systems, and Applications影響因子(影響力)




書(shū)目名稱(chēng)Artificial Intelligence: Methodology, Systems, and Applications影響因子(影響力)學(xué)科排名




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書(shū)目名稱(chēng)Artificial Intelligence: Methodology, Systems, and Applications網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Artificial Intelligence: Methodology, Systems, and Applications被引頻次




書(shū)目名稱(chēng)Artificial Intelligence: Methodology, Systems, and Applications被引頻次學(xué)科排名




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書(shū)目名稱(chēng)Artificial Intelligence: Methodology, Systems, and Applications讀者反饋




書(shū)目名稱(chēng)Artificial Intelligence: Methodology, Systems, and Applications讀者反饋學(xué)科排名

Hemodialysis

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.

LITHE

Talkative

稱(chēng)贊

詞根詞綴法

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

Abutment

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.

輕打

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.

Project

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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