Paul E. Utgoff

2005
36	EE	Phillip B. Kirlin, Paul E. Utgoff: VOISE: Learning to Segregate Voices in Explicit and Implicit Polyphony. ISMIR 2005: 552-557
35	EE	Matthew B. Blaschko, Gary Holness, Marwan A. Mattar, Dimitri 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
34	EE	Josh Stoddard, Christopher Raphael, Paul E. Utgoff: Well-Tempered Spelling: A Key Invariant Pitch Spelling Algorithm. ISMIR 2004
33	EE	Miroslav Kubat, Joao Gama, Paul E. Utgoff: Incremental learning and concept drift: Editor's introduction. Intell. Data Anal. 8(3): 211-212 (2004)
32	EE	David J. Stracuzzi, Paul E. Utgoff: Randomized Variable Elimination. Journal of Machine Learning Research 5: 1331-1362 (2004)
31	EE	Doina Precup, Paul E. Utgoff: Classification Using Phi-Machines and Constructive Function Approximation. Machine Learning 55(1): 31-52 (2004)
2002
30		David J. Stracuzzi, Paul E. Utgoff: Randomized Variable Elimination. ICML 2002: 594-601
29	EE	Paul E. Utgoff, David J. Stracuzzi: Many-Layered Learning. Neural Computation 14(10): 2497-2529 (2002)
2000
28	EE	Paul E. Utgoff, Richard P. Cochran: A Least-Certainty Heuristic for Selective Search. Computers and Games 2000: 1-18
1999
27		Paul E. Utgoff, David J. Stracuzzi: Approximation Via Value Unification. ICML 1999: 425-432
26		Justus H. Piater, Edward M. Riseman, Paul E. Utgoff: Interactively Training Pixel Classifiers. IJPRAI 13(2): 171-193 (1999)
1998
25	EE	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
24		Justus H. Piater, Edward M. Riseman, Paul E. Utgoff: Interactively Training Pixel Classifiers. FLAIRS Conference 1998: 57-61
23		Doina Precup, Paul E. Utgoff: Classification Using Phi-Machines and Constructive Function Approximation. ICML 1998: 439-444
1997
22		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
21		Paul E. Utgoff, Neil C. Berkman, Jeffery A. Clouse: Decision Tree Induction Based on Efficient Tree Restructuring. Machine Learning 29(1): 5-44 (1997)
1995
20		Carla E. Brodley, Paul E. Utgoff: Multivariate Decision Trees. Machine Learning 19(1): 45-77 (1995)
1994
19		Paul E. Utgoff: An Improved Algorithm for Incremental Induction of Decision Trees. ICML 1994: 318-325
18	EE	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)
1992
17		Tom Fawcett, Paul E. Utgoff: Automatic Feature Generation for Problem Solving Systems. ML 1992: 144-153
16		Jeffery A. Clouse, Paul E. Utgoff: A Teaching Method for Reinforcement Learning. ML 1992: 92-110
1991
15		Paul E. Utgoff, Jeffrey A. Clouse: Two Kinds of Training Information For Evaluation Function Learning. AAAI 1991: 596-600
14		James P. Callan, Paul E. Utgoff: Constructive Induction on Domain Information. AAAI 1991: 614-619
13		James P. Callan, Paul E. Utgoff: A Transformational Approach to Constructive Induction. ML 1991: 122-126
12		Tom Fawcett, Paul E. Utgoff: A Hybrid Method for Feature Generation. ML 1991: 137-141
1990
11		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
10		Paul E. Utgoff, Carla E. Brodley: An Incremental Method for Finding Multivariate Splits for Decision Trees. ML 1990: 58-65
1989
9		Paul E. Utgoff: Improved Training Via Incremental Learning. ML 1989: 362-365
8		Paul E. Utgoff: Incremental Induction of Decision Trees. Machine Learning 4: 161-186 (1989)
1988
7		Paul E. Utgoff: Perceptron Trees: A Case Study In Hybrid Concept Representations. AAAI 1988: 601-606
6		Paul E. Utgoff: ID5: An Incremental ID3. ML 1988: 107-120
1987
5		Margaret E. Connell, Paul E. Utgoff: Learning to Control a Dynamic Physical System. AAAI 1987: 456-460
4		Margaret E. Connell, Paul E. Utgoff: Learning to control a dynamic physical system. Computational Intelligence 3: 330-337 (1987)
1983
3		Paul E. Utgoff: Adjusting Bias ln Concept Learning. IJCAI 1983: 447-449
1982
2		Paul E. Utgoff, Tom M. Mitchell: Acquisition of Appropriate Bias for Inductive Concept Learning. AAAI 1982: 414-417
1981
1		Tom M. Mitchell, Paul E. Utgoff, Bernard Nudel, Ranan B. Banerji: Learning Problem-Solving Heuristics Through Practice. IJCAI 1981: 127-134

Coauthor Index

1	William M. Balch	[35]
2	Ranan B. Banerji	[1]
3	Andrew G. Barto	[11]
4	Neil C. Berkman	[21]
5	Matthew B. Blaschko	[35]
6	Carla E. Brodley	[10] [18] [20] [22]
7	James P. Callan (Jamie Callan)	[13] [14]
8	John Cavazos	[22]
9	Jeffery A. Clouse	[16] [21]
10	Jeffrey A. Clouse	[15]
11	Richard P. Cochran	[28]
12	Paul R. Cohen	[25]
13	Margaret E. Connell	[4] [5]
14	Bruce A. Draper	[18]
15	Tom Fawcett	[12] [17]
16	João Gama (Joao Gama)	[33]
17	Allen R. Hanson	[35]
18	Gary Holness	[35]
19	Phillip B. Kirlin	[36]
20	Miroslav Kubat	[33]
21	Dimitri Lisin	[35]
22	Marwan A. Mattar	[35]
23	Tom M. Mitchell	[1] [2]
24	J. Eliot B. Moss	[22]
25	Bernard Nudel	[1]
26	Justus H. Piater	[24] [26]
27	Doina Precup	[22] [23] [31]
28	Christopher Raphael	[34]
29	Edward M. Riseman	[24] [26] [35]
30	Michael T. Rosenstein	[25]
31	Sharad Saxena	[11]
32	David Scheeff	[22]
33	Matthew D. Schmill	[25]
34	Howard J. Schultz	[35]
35	Michael E. Sieracki	[35]
36	Darko Stefanovic	[22]
37	Josh Stoddard	[34]
38	David J. Stracuzzi	[27] [29] [30] [32]
39	Ben Tupper	[35]
40	Richard C. Yee	[11]

Colors in the list of coauthors