ACAIT 2019│重磅嘉宾抢先看之——主讲嘉宾Jee-Hyong Lee教授

7月5-7日，2019第三届亚洲人工智能技术大会将在重庆巴南区人民政府行政中心大礼堂举办。

大会将汇聚国内外人工智能及相关领域领军者，以国际化视角全景勾勒人工智能发展蓝图，洞见未来趋势，锚定产业方向。

 ACAIT  2019    

Jee-Hyong Lee

韩国成均馆大学

◆◆报告简介◆◆01

In the current era of information overload, most of the datasets are high dimensional and often consist of many irrelevant and redundant features, thus making it complex and less efficient to model and analyze the data. It is, therefore, necessary to reduce the number of features required to achieve high classification performance. The feature selection algorithm looks for the optimal or most informative features by putting aside the redundant and irrelevant features, retaining accurate information and data structures where possible, resulting in efficient and more accurate predictive models. Various feature selection techniques have been developed and are continually nurtured to meet the evolving needs. This talk is intended to explore and analyze the effectiveness of Monte Carlo Tree Search (MCTS) in feature selection. MCTS is a dynamic search strategy and have proven its effectiveness in gaming domains with huge search spaces. MCTS finds the optimal solutions probabilistically by using lightweight random simulations. The feature selection task is modeled with a binary tree and modified MCTS is applied to the tree to select effective feature subsets. The proposed algorithms efficiently search the feature space and find the best feature subset within a few iterations to achieve high classification accuracy and reduced dimensions.

◆◆嘉宾简介◆◆01Jee-Hyong Lee is a Professor at Sungkyunkwan Univ., Korea. He is the vice-chair of Sungkyunkwan Convergence Institute for Information and Intelligence, the chair of Special Interest Group on Artificial Intelligence, Artificial Intelligence Society of Korea Institute of Information Scientists and Engineers, and an associate editor of International Journal of Fuzzy Logic and Intelligent Systems. He has performed research on data driven intelligent systems more than 15 years related with Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, Text Mining and Big Data. Especially, he has focused on finding interesting and useful patterns in data and applying those patterns to solve problems in real world such as semi-conductor defect detection, hazardous weather prediction, recommendation, text summarization, etc. ACAIT  2019    

2019年7月5-7日

巴南区人民政府行政中心大礼堂

会议官网：http://www.acait.cn/

编辑排版：彭璟

最终解释权归重庆理工大学期刊社所有

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ACAIT 2019 | 第三届亚洲人工智能技术大会扬帆起航

专题│建设世界一流科技期刊，做精做强一批基础和传统优势领域期刊

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