Tin Kam Ho

Tin Kam Ho () is a computer scientist at IBM Research with contributions to machine learning, data mining, and classification. Ho is noted for introducing random decision forests in 1995, and for her pioneering work in ensemble learning and data complexity analysis. She is an IEEE fellow and IAPR fellow. Provided by Wikipedia
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  1. 1
    Data Complexity in Pattern Recognition
    by Basu, Mitra
    Published 2006
    Other Authors: “…Ho, Tin Kam…”
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    Electronic Kit Book
  2. 2
    Data Complexity in Pattern Recognition
    Published 2006
    Other Authors: “…Ho, Tin Kam…”
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    Electronic eBook
  3. 3
    Structural, Syntactic, and Statistical Pattern Recognition Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings /
    Published 2018
    Other Authors: “…Ho, Tin Kam…”
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    Electronic eBook
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