Multi-Agent based Automatic Evaluation System for Classification Algorithms

摘要：

The current researches on classification usually focus on proposing novel algorithms and improving existent ones with better performances.However,although a classi cation algorithm is able to perform well for some given data sets,does it mean to any other data sets?And given several algorithm candidates,which one is the best for your classi cation problem? A practical solution to the above questions is to evaluate possible situations,which is extremely time-consuming and resource-consuming.In this paper we propose a distributed computing environment based on Multi-Agent technology to facilitate this evaluation process.In this computing environment we compare the performances of the same algorithm on different data sets, and different algorithms on the same data set.Experiments show that autonomic agents can run simultaneously and automatically on different computing hosts to achieve high availability,and this scheme can save the total evaluation time greatly.Therefore, this scheme will help us easily select the proper algorithm for a given classi cation problem according to different evaluation measures.

关键词： Multi-Agent Technology Distributed Environ- ment Performance Evaluation Simultaneously and Automati- cally.

作者: Fuzhen Zhuang Qing He Zhongzhi Shi

作者单位: The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology,Chinese The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology,Chinese

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 264-269

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）