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ORCIDPaul E. Utgoff
Person information
- affiliation: University of Massachusetts Amherst, USA
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Journal Articles
- 2012
[j11]Paul E. Utgoff, Margaret E. Connell:
Real-Time Combinatorial Optimization for Elevator Group Dispatching. IEEE Trans. Syst. Man Cybern. Part A 42(1): 130-146 (2012)- 2004
- [j10]Miroslav Kubat, João Gama, Paul E. Utgoff:
Incremental learning and concept drift: Editor's introduction. Intell. Data Anal. 8(3): 211-212 (2004) - [j9]David J. Stracuzzi, Paul E. Utgoff:
Randomized Variable Elimination. J. Mach. Learn. Res. 5: 1331-1362 (2004) - [j8]Doina Precup, Paul E. Utgoff:
Classification Using Phi-Machines and Constructive Function Approximation. Mach. Learn. 55(1): 31-52 (2004) - 2002
- [j7]Paul E. Utgoff, David J. Stracuzzi:
Many-Layered Learning. Neural Comput. 14(10): 2497-2529 (2002) - 1999
- [j6]Justus H. Piater
, Edward M. Riseman, Paul E. Utgoff:
Interactively Training Pixel Classifiers. Int. J. Pattern Recognit. Artif. Intell. 13(2): 171-193 (1999) - 1997
- [j5]Paul E. Utgoff, Neil C. Berkman, Jeffery A. Clouse:
Decision Tree Induction Based on Efficient Tree Restructuring. Mach. Learn. 29(1): 5-44 (1997) - 1995
- [j4]Carla E. Brodley, Paul E. Utgoff:
Multivariate Decision Trees. Mach. Learn. 19(1): 45-77 (1995) - 1994
- [j3]Bruce A. Draper, Carla E. Brodley, Paul E. Utgoff:
Goal-Directed Classification Using Linear Machine Decision Trees. IEEE Trans. Pattern Anal. Mach. Intell. 16(9): 888-893 (1994) - 1989
- [j2]Paul E. Utgoff:
Incremental Induction of Decision Trees. Mach. Learn. 4: 161-186 (1989) - 1987
- [j1]Margaret E. Connell, Paul E. Utgoff:
Learning to control a dynamic physical system. Comput. Intell. 3: 330-337 (1987)
Conference and Workshop Papers
- 2008
- [c28]Phillip B. Kirlin, Paul E. Utgoff:
A Framework for Automated Schenkerian Analysis. ISMIR 2008: 363-368 - 2006
- [c27]Paul E. Utgoff, Phillip B. Kirlin:
Detecting Motives and Recurring Patterns in PolyphonicMusic. ICMC 2006 - 2005
- [c26]Phillip B. Kirlin, Paul E. Utgoff:
VOISE: Learning to Segregate Voices in Explicit and Implicit Polyphony. ISMIR 2005: 552-557 - [c25]Matthew B. Blaschko, Gary Holness, Marwan A. Mattar, Dimitri A. Lisin, Paul E. Utgoff, Allen R. Hanson, Howard J. Schultz, Edward M. Riseman, Michael E. Sieracki, William M. Balch, Ben Tupper:
Automatic In Situ Identification of Plankton. WACV/MOTION 2005: 79-86 - 2004
- [c24]Josh Stoddard, Christopher Raphael, Paul E. Utgoff:
Well-Tempered Spelling: A Key Invariant Pitch Spelling Algorithm. ISMIR 2004 - 2002
- [c23]David J. Stracuzzi, Paul E. Utgoff:
Randomized Variable Elimination. ICML 2002: 594-601 - 2000
- [c22]Paul E. Utgoff, Richard P. Cochran:
A Least-Certainty Heuristic for Selective Search. Computers and Games 2000: 1-18 - 1999
- [c21]Paul E. Utgoff, David J. Stracuzzi:
Approximation Via Value Unification. ICML 1999: 425-432 - 1998
- [c20]Matthew D. Schmill, Michael T. Rosenstein, Paul R. Cohen, Paul E. Utgoff:
Learning What Is Relevant to the Effects of Actions for a Mobile Robot. Agents 1998: 247-253 - [c19]Justus H. Piater, Edward M. Riseman, Paul E. Utgoff:
Interactively Training Pixel Classifiers. FLAIRS 1998: 57-61 - [c18]Doina Precup, Paul E. Utgoff:
Classification Using Phi-Machines and Constructive Function Approximation. ICML 1998: 439-444 - 1997
- [c17]J. Eliot B. Moss, Paul E. Utgoff, John Cavazos, Doina Precup, Darko Stefanovic, Carla E. Brodley, David Scheeff:
Learning to Schedule Straight-Line Code. NIPS 1997: 929-935 - 1994
- [c16]Paul E. Utgoff:
An Improved Algorithm for Incremental Induction of Decision Trees. ICML 1994: 318-325 - 1992
- [c15]Jeffery A. Clouse, Paul E. Utgoff:
A Teaching Method for Reinforcement Learning. ML 1992: 92-110 - [c14]Tom Fawcett, Paul E. Utgoff:
Automatic Feature Generation for Problem Solving Systems. ML 1992: 144-153 - 1991
- [c13]Paul E. Utgoff, Jeffrey A. Clouse:
Two Kinds of Training Information For Evaluation Function Learning. AAAI 1991: 596-600 - [c12]James P. Callan, Paul E. Utgoff:
Constructive Induction on Domain Information. AAAI 1991: 614-619 - [c11]James P. Callan, Paul E. Utgoff:
A Transformational Approach to Constructive Induction. ML 1991: 122-126 - [c10]Tom Fawcett, Paul E. Utgoff:
A Hybrid Method for Feature Generation. ML 1991: 137-141 - 1990
- [c9]Richard C. Yee, Sharad Saxena, Paul E. Utgoff, Andrew G. Barto:
Explaining Temporal Differences to Create Useful Concepts for Evaluating States. AAAI 1990: 882-888 - [c8]Paul E. Utgoff, Carla E. Brodley:
An Incremental Method for Finding Multivariate Splits for Decision Trees. ML 1990: 58-65 - 1989
- [c7]Paul E. Utgoff:
Improved Training Via Incremental Learning. ML 1989: 362-365 - 1988
- [c6]Paul E. Utgoff:
Perceptron Trees: A Case Study In Hybrid Concept Representations. AAAI 1988: 601-606 - [c5]Paul E. Utgoff:
ID5: An Incremental ID3. ML 1988: 107-120 - 1987
- [c4]Margaret E. Connell, Paul E. Utgoff:
Learning to Control a Dynamic Physical System. AAAI 1987: 456-460 - 1983
- [c3]Paul E. Utgoff:
Adjusting Bias in Concept Learning. IJCAI 1983: 447-449 - 1982
- [c2]Paul E. Utgoff, Tom M. Mitchell:
Acquisition of Appropriate Bias for Inductive Concept Learning. AAAI 1982: 414-417 - 1981
- [c1]Tom M. Mitchell, Paul E. Utgoff, Bernard Nudel, Ranan B. Banerji:
Learning Problem-Solving Heuristics Through Practice. IJCAI 1981: 127-134
Editorship
- 1993
- [e1]Paul E. Utgoff:
Machine Learning, Proceedings of the Tenth International Conference, University of Massachusetts, Amherst, MA, USA, June 27-29, 1993. Morgan Kaufmann 1993, ISBN 1-55860-307-7 [contents]
Reference Works
- 2017
- [r2]Paul E. Utgoff:
Incremental Learning. Encyclopedia of Machine Learning and Data Mining 2017: 634-637 - 2010
- [r1]Paul E. Utgoff:
Incremental Learning. Encyclopedia of Machine Learning 2010: 515-518
Coauthor Index
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