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

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發(fā)表于 2025-3-21 18:53:45 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Artificial Intelligence Perspectives and Applications
期刊簡(jiǎn)稱(chēng)Proceedings of the 4
影響因子2023Radek Silhavy,Roman Senkerik,Petr Silhavy
視頻videohttp://file.papertrans.cn/163/162132/162132.mp4
發(fā)行地址Presents recent research on Artificial Intelligence Perspectives and Applications.Proceedings of the 4th Computer Science On-line Conference 2015 (CSOC2015), Vol 1: Artificial Intelligence Perspective
學(xué)科分類(lèi)Advances in Intelligent Systems and Computing
圖書(shū)封面Titlebook: Artificial Intelligence Perspectives and Applications; Proceedings of the 4 Radek Silhavy,Roman Senkerik,Petr Silhavy Conference proceeding
影響因子.This volume is based on the research papers presented in the 4.th. Computer Science On-line Conference..The volume Artificial Intelligence Perspectives and Applications presents new approaches and methods to real-world problems, and in particular, exploratory research that describes novel approaches in the field of artificial intelligence. Particular emphasis is laid on modern trends in selected fields of interest. New algorithms or methods in a variety of fields are also presented..The Computer Science On-line Conference (CSOC 2015) is intended to provide an international forum for discussions on the latest high-quality research results in all areas related to Computer Science..The addressed topics are the theoretical aspects and applications of Computer Science, Artificial Intelligences, Cybernetics, Automation Control Theory and Software Engineering..
Pindex Conference proceedings 2015
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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
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