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Paul Everett Utgoff, (1951 - 2008)
was an American computer scientist and professor at Department of Computer and Information Science, University of Massachusetts Amherst. He is recognized as a pioneer in machine learning, data mining, and decision theory, where he contributed to incremental decision tree induction, multivariate decision trees [1], and problem representation. He received his Ph.D. in 1984 from Rutgers–New Brunswick on inductive bias in machine learning under supervision of Tom Mitchell and Saul Amarel [2]. In 1993, he designed the Incremental Tree Inducer (ITI) program and a new algorithm called Direct-Metric Tree Inducer (DMTI) made feasible by the ability to restructure trees efficiently [3].

Paul E. Utgoff died on October 11, 2008 at the age of 57 due to complications from surgery that he elected to undergo as part of his battle against appendiceal cancer [4].
Paul E. Utgoff [5]

Selected Publications

[6]

1980 ...

1990 ...

2000 ...


External Links


References

  1. ^ Carla E. Brodley, Paul E. Utgoff (1995). Multivariate Decision Trees. Machine Learning, Vol. 19, No. 1
  2. ^ Paul E. Utgoff (1984). Shift of Bias for Inductive Concept Learning. Ph.D. thesis, Rutgers University, New Brunswick
  3. ^ Machine Learning Laboratory - Incremental Decision Tree Induction
  4. ^ In Memoriam: Paul Utgoff (1951 - 2008) | School of Computer Science
  5. ^ Paul Utgoff
  6. ^ dblp: Paul E. Utgoff
  7. ^ Iterative Dichotomiser 3 by Ross Quinlan

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