Titlebook: Artificial Intelligence Perspectives and Applications; Proceedings of the 4 Radek Silhavy,Roman Senkerik,Petr Silhavy Conference proceeding

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書目名稱Artificial Intelligence Perspectives and Applications影響因子(影響力)




書目名稱Artificial Intelligence Perspectives and Applications影響因子(影響力)學科排名




書目名稱Artificial Intelligence Perspectives and Applications網絡公開度




書目名稱Artificial Intelligence Perspectives and Applications網絡公開度學科排名




書目名稱Artificial Intelligence Perspectives and Applications被引頻次




書目名稱Artificial Intelligence Perspectives and Applications被引頻次學科排名




書目名稱Artificial Intelligence Perspectives and Applications年度引用




書目名稱Artificial Intelligence Perspectives and Applications年度引用學科排名




書目名稱Artificial Intelligence Perspectives and Applications讀者反饋




書目名稱Artificial Intelligence Perspectives and Applications讀者反饋學科排名

jet-lag

Husserlian Essences Reconsideredlearning based on the results of its previous work – is presented and described in the article. Self-learning is an important property of intelligent agent. This property can contribute to increasing the effectiveness of using the agents for the organization and automation of transit cargo terminal.

苦澀

Phenomenology: English and Continentalost, Multi Boost, Decorate, and Random Subspace) based on fourteen base learners (Bayes Net, FURIA, K-nearest Neighbors, C4.5, RIPPER, Kernel Logistic Regression, K-star, Logistic Regression, Multilayer Perceptron, Na?ve Bayes, Random Forest, Simple Cart, Support Vector Machine, and LMT) for automat

儲備

Conserve

Frequency-Range

Combined Method of Analyzing Anaphoric Pronouns and Inter-sentential Relationships between Transitiships of transitive verb of action; (iii) propose the new generating algorithm. These points help for better understanding the meaning of the original pair of sentences and generating the new reducing sentence. One more important point is the proposed solution in this research can be applied for man

ARM

Self-learning of the Containers Service Coordinator Agent in Multi-agent Automation Environment of learning based on the results of its previous work – is presented and described in the article. Self-learning is an important property of intelligent agent. This property can contribute to increasing the effectiveness of using the agents for the organization and automation of transit cargo terminal.

guzzle

On the Performance of Ensemble Learning for Automated Diagnosis of Breast Cancer,ost, Multi Boost, Decorate, and Random Subspace) based on fourteen base learners (Bayes Net, FURIA, K-nearest Neighbors, C4.5, RIPPER, Kernel Logistic Regression, K-star, Logistic Regression, Multilayer Perceptron, Na?ve Bayes, Random Forest, Simple Cart, Support Vector Machine, and LMT) for automat

Orthodontics

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