Paul E. Utgoff

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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, 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. 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.

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.

=Selected Publications=

1980 ...

 * Paul E. Utgoff, Tom Mitchell (1982). Acquisition of Appropriate Bias for Inductive Concept Learning. AAAI 1982, pdf
 * Paul E. Utgoff (1984). Shift of Bias for Inductive Concept Learning. Ph.D. thesis, Rutgers University, New Brunswick
 * Paul E. Utgoff (1988). ID5: An incremental ID3. ML 1988
 * Paul E. Utgoff (1989). Incremental Induction of Decision Trees. Machine Learning, Vol. 4

1990 ...

 * Paul E. Utgoff, Carla E. Brodley (1990). An Incremental Method for Finding Multivariate Splits for Decision Trees. ML 1990
 * Richard C. Yee, Sharad Saxena, Paul E. Utgoff, Andrew Barto (1990). Explaining Temporal Differences to Create Useful Concepts for Evaluating States. AAAI 1990, pdf
 * Paul E. Utgoff, Jeffery A. Clouse (1991). Two Kinds of Training Information for Evaluation Function Learning. University of Massachusetts, Amherst, Proceedings of the AAAI 1991
 * Paul E. Utgoff (1994). An Improved Algorithm for Incremental Induction of Decision Trees. ICML 1994, CiteSeerX
 * Carla E. Brodley, Paul E. Utgoff (1995). Multivariate Decision Trees. Machine Learning, Vol. 19, No. 1
 * Paul E. Utgoff, Doina Precup (1998). Constructive Function Approximation. Chapter in Feature Extraction, Construction, and Selection: A Data-Mining Perspective. Kluwer
 * Paul E. Utgoff, David J. Stracuzzi (1999). Approximation Via Value Unification. ICML 1999, pdf

2000 ...

 * Paul E. Utgoff, Richard P. Cochran (2000). A Least-Certainty Heuristic for Selective Search. CG 2000, pdf » LCF
 * David J. Stracuzzi, Paul E. Utgoff (2000). Feature compilation. University of Massachusetts Amherst, TR-00-18, pdf
 * Paul E. Utgoff, David J. Stracuzzi (2002). Many-Layered Learning. Neural Computation, Vol. 14, No. 10, pdf
 * Doina Precup, Paul E. Utgoff (2004). Classification using Phi-Machines and Constructive Function Approximation. Machine Learning, Vol. 55
 * Paul E. Utgoff, David J. Stracuzzi (2004). Randomized Variable Elimination. Journal of Machine Learning Research, Vol. 5, pdf

=External Links=
 * Paul Utgoff
 * The Mathematics Genealogy Project - Paul Utgoff
 * Machine Learning Laboratory - Incremental Decision Tree Induction
 * Paul Utgoff's ICGA Tournaments

=References=

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