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    Chapter and Conference Paper

    Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm

    We study the Rough Set theory as a method of feature selection based on tolerant classes that extends the existing equivalent classes. The determination of initial tolerant classes is a challenging and importa...

    Farideh Fazayeli, Lipo Wang, Jacek Mandziuk in Rough Sets and Current Trends in Computing (2008)

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    Book and Conference Proceedings

    Fuzzy Systems and Knowledge Discovery

    Third International Conference, FSKD 2006, **’an, China, September 24-28, 2006. Proceedings

    Lipo Wang, Licheng Jiao, Guanming Shi in Lecture Notes in Computer Science (2006)

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    Chapter and Conference Paper

    Chaotic Cellular Neural Networks with Negative Self-feedback

    We propose a new model of Chaotic Cellular Neural Networks (C-CNNs) by introducing negative self-feedback into the Euler approximation of the continuous CNNs. According to our simulation result for the single ...

    Wen Liu, Haixiang Shi, Lipo Wang in Artificial Intelligence and Soft Computing… (2006)

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    Chapter and Conference Paper

    Active Mining Discriminative Gene Sets

    Searching for good discriminative gene sets (DGSs) in microarray data is important for many problems, such as precise cancer diagnosis, correct treatment selection, and drug discovery. Small and good DGSs can ...

    Feng Chu, Lipo Wang in Artificial Intelligence and Soft Computing – ICAISC 2006 (2006)

  5. No Access

    Book and Conference Proceedings

    Fuzzy Systems and Knowledge Discovery

    Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II

    Lipo Wang, Yaochu ** in Lecture Notes in Computer Science (2005)

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    Book and Conference Proceedings

    Fuzzy Systems and Knowledge Discovery

    Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I

    Lipo Wang, Yaochu ** in Lecture Notes in Computer Science (2005)