Paul E. Utgoff

42 papers A* 13Misc 1Journal 11Unranked 15

Year	Rank	Type	Title / Venue / Authors
2017	—	`ch.`	Incremental Learning. Encyclopedia of Machine Learning and Data Mining Paul E. Utgoff
2012	J	`jnl`	Real-Time Combinatorial Optimization for Elevator Group Dispatching. IEEE Trans. Syst. Man Cybern. Part A Paul E. Utgoff, Margaret E. Connell
2010	—	`ch.`	Incremental Learning. Encyclopedia of Machine Learning Paul E. Utgoff
2008	—	`conf`	A Framework for Automated Schenkerian Analysis. ISMIR Phillip B. Kirlin, Paul E. Utgoff
2006	—	`conf`	Detecting Motives and Recurring Patterns in PolyphonicMusic. ICMC Paul E. Utgoff, Phillip B. Kirlin
2005	—	`conf`	Automatic In Situ Identification of Plankton. WACV/MOTION 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
2005	—	`conf`	VOISE: Learning to Segregate Voices in Explicit and Implicit Polyphony. ISMIR Phillip B. Kirlin, Paul E. Utgoff
2004	J	`jnl`	Classification Using Phi-Machines and Constructive Function Approximation. Mach. Learn. Doina Precup, Paul E. Utgoff
2004	J	`jnl`	Incremental learning and concept drift: Editor's introduction. Intell. Data Anal. Miroslav Kubat, João Gama, Paul E. Utgoff
2004	J	`jnl`	Randomized Variable Elimination. J. Mach. Learn. Res. David J. Stracuzzi, Paul E. Utgoff
2004	—	`conf`	Well-Tempered Spelling: A Key Invariant Pitch Spelling Algorithm. ISMIR Josh Stoddard, Christopher Raphael, Paul E. Utgoff
2002	J	`jnl`	Many-Layered Learning. Neural Comput. Paul E. Utgoff, David J. Stracuzzi
2002	A*	`conf`	Randomized Variable Elimination. ICML David J. Stracuzzi, Paul E. Utgoff
2000	—	`conf`	A Least-Certainty Heuristic for Selective Search. Computers and Games Paul E. Utgoff, Richard P. Cochran
1999	A*	`conf`	Approximation Via Value Unification. ICML Paul E. Utgoff, David J. Stracuzzi
1999	J	`jnl`	Interactively Training Pixel Classifiers. Int. J. Pattern Recognit. Artif. Intell. Justus H. Piater, Edward M. Riseman, Paul E. Utgoff
1998	A*	`conf`	Classification Using Phi-Machines and Constructive Function Approximation. ICML Doina Precup, Paul E. Utgoff
1998	Misc	`conf`	Interactively Training Pixel Classifiers. FLAIRS Justus H. Piater, Edward M. Riseman, Paul E. Utgoff
1998	—	`conf`	Learning What Is Relevant to the Effects of Actions for a Mobile Robot. Agents Matthew D. Schmill, Michael T. Rosenstein, Paul R. Cohen, Paul E. Utgoff
1997	J	`jnl`	Decision Tree Induction Based on Efficient Tree Restructuring. Mach. Learn. Paul E. Utgoff, Neil C. Berkman, Jeffery A. Clouse
1997	—	`conf`	Learning to Schedule Straight-Line Code. NIPS J. Eliot B. Moss, Paul E. Utgoff, John Cavazos, Doina Precup, Darko Stefanovic, Carla E. Brodley, David Scheeff
1995	J	`jnl`	Multivariate Decision Trees. Mach. Learn. Carla E. Brodley, Paul E. Utgoff
1994	A*	`conf`	An Improved Algorithm for Incremental Induction of Decision Trees. ICML Paul E. Utgoff
1994	J	`jnl`	Goal-Directed Classification Using Linear Machine Decision Trees. IEEE Trans. Pattern Anal. Mach. Intell. Bruce A. Draper, Carla E. Brodley, Paul E. Utgoff
1993	A*	`ed.`	Machine Learning, Proceedings of the Tenth International Conference, University of Massachusetts, Amherst, MA, USA, June 27-29, 1993 ICML Paul E. Utgoff
1992	—	`conf`	A Teaching Method for Reinforcement Learning. ML Jeffery A. Clouse, Paul E. Utgoff
1992	—	`conf`	Automatic Feature Generation for Problem Solving Systems. ML Tom Fawcett, Paul E. Utgoff
1991	—	`conf`	A Hybrid Method for Feature Generation. ML Tom Fawcett, Paul E. Utgoff
1991	—	`conf`	A Transformational Approach to Constructive Induction. ML James P. Callan, Paul E. Utgoff
1991	A*	`conf`	Constructive Induction on Domain Information. AAAI James P. Callan, Paul E. Utgoff
1991	A*	`conf`	Two Kinds of Training Information For Evaluation Function Learning. AAAI Paul E. Utgoff, Jeffrey A. Clouse
1990	—	`conf`	An Incremental Method for Finding Multivariate Splits for Decision Trees. ML Paul E. Utgoff, Carla E. Brodley
1990	A*	`conf`	Explaining Temporal Differences to Create Useful Concepts for Evaluating States. AAAI Richard C. Yee, Sharad Saxena, Paul E. Utgoff, Andrew G. Barto
1989	—	`conf`	Improved Training Via Incremental Learning. ML Paul E. Utgoff
1989	J	`jnl`	Incremental Induction of Decision Trees. Mach. Learn. Paul E. Utgoff
1988	—	`conf`	ID5: An Incremental ID3. ML Paul E. Utgoff
1988	A*	`conf`	Perceptron Trees: A Case Study In Hybrid Concept Representations. AAAI Paul E. Utgoff
1987	A*	`conf`	Learning to Control a Dynamic Physical System. AAAI Margaret E. Connell, Paul E. Utgoff
1987	J	`jnl`	Learning to control a dynamic physical system. Comput. Intell. Margaret E. Connell, Paul E. Utgoff
1983	A*	`conf`	Adjusting Bias in Concept Learning. IJCAI Paul E. Utgoff
1982	A*	`conf`	Acquisition of Appropriate Bias for Inductive Concept Learning. AAAI Paul E. Utgoff, Tom M. Mitchell
1981	A*	`conf`	Learning Problem-Solving Heuristics Through Practice. IJCAI Tom M. Mitchell, Paul E. Utgoff, Bernard Nudel, Ranan B. Banerji