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Building Decision Trees for the Multi-class Imbalance Problem

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  1. Chapter and Conference Paper

    Structure Learning of Probabilistic Relational Models from Incomplete Relational Data

    Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn structures of probabilistic relational...

    **ao-Lin Li, Zhi-Hua Zhou in Machine Learning: ECML 2007 (2007)

  2. Chapter and Conference Paper

    Analyzing Co-training Style Algorithms

    Co-training is a semi-supervised learning paradigm which trains two learners respectively from two different views and lets the learners label some unlabeled examples for each other. In this paper, we present ...

    Wei Wang, Zhi-Hua Zhou in Machine Learning: ECML 2007 (2007)

  3. Chapter and Conference Paper

    Distributional Features for Text Categorization

    In previous research of text categorization, a word is usually described by features which express that whether the word appears in the document or how frequently the word appears. Although these features are ...

    **ao-Bing Xue, Zhi-Hua Zhou in Machine Learning: ECML 2006 (2006)

  4. Chapter and Conference Paper

    Exploiting Unlabeled Data in Content-Based Image Retrieval

    In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image retrieval (Cbir), is proposed. This approach ...

    Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang in Machine Learning: ECML 2004 (2004)