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學術報告:Granular Data Descriptors and Their Generative and Discriminative Facets

編輯:    發布時間:2019-05-12    次點擊

主講人:Witold Pedrycz 教授

時  間:2019515日(星期三)上午10:00

地  點:數學與信息學院201報告廳

會議聯系人:李康順 教授


Abstract: Concepts constitute a concise and fundamental manifestation of key features of data. As emerging at the higher level of abstraction than the data themselves, they capture the essence of the data and usually emerge in the form of information granules.

  

In this talk, we identify three main ways in which concepts are encountered and characterized: (i) numeric, (ii) symbolic, and (iii) granular. Each of these views come with their advantages and become complementary to some extent.

  

The numeric concepts are built by engaging various clustering techniques. The quality of numeric concepts evaluated at the numeric level is described by a reconstruction criterion. The symbolic description of concepts, which is predominant in the realm of Artificial Intelligence (AI) and symbolic computing, can be represented by sequences of labels (integers). In such a way qualitative aspects of data are captured. This facilitates further qualitative analysis of concepts and constructs involving them by reflecting the bird’s-eye view of the data. The granular concepts augment numeric concepts by bringing information granularity into the picture and invoking the principle of justifiable granularity in their construction.

  

We elaborate on the general scheme of processing of granular modeling dwelling upon a collection of granular concepts and their role in granular classifiers and mechanisms of transfer learning among others.    

  

  

Witold Pedrycz has long been engaged in the research of intelligent computing, information processing, fuzzy systems, artificial intelligence, genetic algorithms, and other related fields. He has made important contributions to the research of intelligent learning, knowledge mining, and expression of hybrid intelligent systems. The research work has been widely concerned and recognized by peers around the world. He is currently Editor-in-Chief of Journal of Information Science and IEEE Trans on SMCA, IEEE Fellowship, Fellow of Royal Society of Canada, and has served as chairman or member of well-known conferences in the field of intelligent computing such as IFSA/NAFIPS World Congress, IEEE Int. Conference on Fuzzy Systems, and IEEE Congress on Computational Intelligence. Conference on Fuzzy Systems, and IEEE Congress on Computational Intelligence. Since 2000, he has served as editor of several internationally renowned periodicals such as IEEE Trans. SMC and IEEE Trans. Fuzzy Systems.


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