Paul E. Utgoff

According to our database, Paul E. Utgoff authored at least 37 papers between 1981 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Incremental Learning.

Paul E. Utgoff

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

2012

Real-Time Combinatorial Optimization for Elevator Group Dispatching.

Paul E. Utgoff, Margaret E. Connell

IEEE Trans. Syst. Man Cybern. Part A, 2012

2010

Incremental Learning.

Paul E. Utgoff

Proceedings of the Encyclopedia of Machine Learning, 2010

2008

A Framework for Automated Schenkerian Analysis.

Phillip B. Kirlin, Paul E. Utgoff

Proceedings of the ISMIR 2008, 2008

2006

Detecting Motives and Recurring Patterns in PolyphonicMusic.

Paul E. Utgoff, Phillip B. Kirlin

Proceedings of the 2006 International Computer Music Conference, 2006

2005

Automatic In Situ Identification of Plankton.

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

Proceedings of the 7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION 2005), 2005

VOISE: Learning to Segregate Voices in Explicit and Implicit Polyphony.

Phillip B. Kirlin, Paul E. Utgoff

Proceedings of the ISMIR 2005, 2005

2004

Classification Using Phi-Machines and Constructive Function Approximation.

Doina Precup, Paul E. Utgoff

Mach. Learn., 2004

Randomized Variable Elimination.

David J. Stracuzzi, Paul E. Utgoff

J. Mach. Learn. Res., 2004

Incremental learning and concept drift: Editor's introduction.

Miroslav Kubat, João Gama, Paul E. Utgoff

Intell. Data Anal., 2004

Well-Tempered Spelling: A Key Invariant Pitch Spelling Algorithm.

Josh Stoddard, Christopher Raphael, Paul E. Utgoff

Proceedings of the ISMIR 2004, 2004

2002

Many-Layered Learning.

Paul E. Utgoff, David J. Stracuzzi

Neural Comput., 2002

2000

A Least-Certainty Heuristic for Selective Search.

Paul E. Utgoff, Richard P. Cochran

Proceedings of the Computers and Games, Second International Conference, 2000

1999

Interactively Training Pixel Classifiers.

Justus H. Piater, Edward M. Riseman, Paul E. Utgoff

Int. J. Pattern Recognit. Artif. Intell., 1999

Approximation Via Value Unification.

Paul E. Utgoff, David J. Stracuzzi

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998

Learning What Is Relevant to the Effects of Actions for a Mobile Robot.

Matthew D. Schmill, Michael T. Rosenstein, Paul R. Cohen, Paul E. Utgoff

Proceedings of the Second International Conference on Autonomous Agents, 1998

1997

Decision Tree Induction Based on Efficient Tree Restructuring.

Paul E. Utgoff, Neil C. Berkman, Jeffery A. Clouse

Mach. Learn., 1997

Learning to Schedule Straight-Line Code.

J. Eliot B. Moss, Paul E. Utgoff, John Cavazos, Doina Precup, Darko Stefanovic, Carla E. Brodley, David Scheeff

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1995

Multivariate Decision Trees.

Carla E. Brodley, Paul E. Utgoff

Mach. Learn., 1995

1994

Goal-Directed Classification Using Linear Machine Decision Trees.

Bruce A. Draper, Carla E. Brodley, Paul E. Utgoff

IEEE Trans. Pattern Anal. Mach. Intell., 1994

An Improved Algorithm for Incremental Induction of Decision Trees.

Paul E. Utgoff

Proceedings of the Machine Learning, 1994

1992

Automatic Feature Generation for Problem Solving Systems.

Tom Fawcett, Paul E. Utgoff

Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

A Teaching Method for Reinforcement Learning.

Jeffery A. Clouse, Paul E. Utgoff

Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

1991

A Hybrid Method for Feature Generation.

Tom Fawcett, Paul E. Utgoff

Proceedings of the Eighth International Workshop (ML91), 1991

A Transformational Approach to Constructive Induction.

James P. Callan, Paul E. Utgoff

Proceedings of the Eighth International Workshop (ML91), 1991

Two Kinds of Training Information For Evaluation Function Learning.

Paul E. Utgoff, Jeffrey A. Clouse

Proceedings of the 9th National Conference on Artificial Intelligence, 1991

Constructive Induction on Domain Information.

James P. Callan, Paul E. Utgoff

Proceedings of the 9th National Conference on Artificial Intelligence, 1991

1990

An Incremental Method for Finding Multivariate Splits for Decision Trees.

Paul E. Utgoff, Carla E. Brodley

Proceedings of the Machine Learning, 1990

Explaining Temporal Differences to Create Useful Concepts for Evaluating States.

Richard C. Yee, Sharad Saxena, Paul E. Utgoff, Andrew G. Barto

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1989

Incremental Induction of Decision Trees.

Paul E. Utgoff

Mach. Learn., 1989

Improved Training Via Incremental Learning.

Paul E. Utgoff

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1988

ID5: An Incremental ID3.

Paul E. Utgoff

Proceedings of the Machine Learning, 1988

Perceptron Trees: A Case Study In Hybrid Concept Representations.

Paul E. Utgoff

Proceedings of the 7th National Conference on Artificial Intelligence, 1988

1987

Learning to control a dynamic physical system.

Margaret E. Connell, Paul E. Utgoff

Comput. Intell., 1987

1983

Adjusting Bias in Concept Learning.

Paul E. Utgoff

Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983

1982

Acquisition of Appropriate Bias for Inductive Concept Learning.

Paul E. Utgoff, Tom M. Mitchell

Proceedings of the National Conference on Artificial Intelligence, 1982

1981

Learning Problem-Solving Heuristics Through Practice.

Tom M. Mitchell, Paul E. Utgoff, Bernard Nudel, Ranan B. Banerji

Proceedings of the 7th International Joint Conference on Artificial Intelligence, 1981