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Paul 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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