Gerald DeJong

According to our database, Gerald DeJong authored at least 73 papers between 1977 and 2017.

Collaborative distances:

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

2017

Explanation-Based Learning.

Gerald DeJong, Shiau Hong Lim

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

LORE: A loop repository for the evaluation of compilers.

Zhi Chen, Zhangxiaowen Gong, Justin Josef Szaday, David C. Wong, David A. Padua, Alexandru Nicolau, Alexander V. Veidenbaum, Neftali Watkinson, Zehra Sura, Saeed Maleki, Josep Torrellas, Gerald DeJong

Proceedings of the 2017 IEEE International Symposium on Workload Characterization, 2017

2014

Explanation-Based Learning.

Gerald DeJong

Proceedings of the Computing Handbook, 2014

2012

An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration.

Xiaoqin Zhang, Bhavesh Shrestha, Sung Wook Yoon, Subbarao Kambhampati, Phillip DiBona, Jinhong K. Guo, Daniel McFarlane, Martin O. Hofmann, Kenneth R. Whitebread, Darren Scott Appling, Elizabeth T. Whitaker, Ethan Trewhitt, Li Ding, James Michaelis, Deborah L. McGuinness, James A. Hendler, Janardhan Rao Doppa, Charles Parker, Thomas G. Dietterich, Prasad Tadepalli, Weng-Keen Wong, Derek T. Green, Antons Rebguns, Diana F. Spears, Ugur Kuter, Geoffrey Levine, Gerald DeJong, Reid MacTavish, Santiago Ontañón, Jainarayan Radhakrishnan, Ashwin Ram, Hala Mostafa, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Victor R. Lesser, Zhexuan Song

ACM Trans. Intell. Syst. Technol., 2012

2011

Automatic Topic Model Adaptation for Sentiment Analysis in Structured Domains.

Geoffrey Levine, Gerald DeJong

Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Explanation-based Mechanisms for Learning: An Interdisciplinary Approach.

Michelene T. H. Chi, Gerald DeJong, Cristine H. Legare, Tania Lombrozo, Joseph Jay Williams

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010

Explanation-Based Learning.

Gerald DeJong, Shiau Hong Lim

Proceedings of the Encyclopedia of Machine Learning, 2010

Automatic Model Adaptation for Complex Structured Domains.

Geoffrey Levine, Gerald DeJong, Li-Lun Wang, Rajhans Samdani, Shankar Vembu, Dan Roth

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009

Integrating prior domain knowledge into discriminative learning using automatic model construction and phantom examples.

Shiau Hong Lim, Li-Lun Wang, Gerald DeJong

Pattern Recognit., 2009

Object Detection by Estimating and Combining High-Level Features.

Geoffrey Levine, Gerald DeJong

Proceedings of the Image Analysis and Processing, 2009

An Ensemble Learning and Problem Solving Architecture for Airspace Management.

Xiaoqin Zhang, Sung Wook Yoon, Phillip DiBona, Darren Scott Appling, Li Ding, Janardhan Rao Doppa, Derek T. Green, Jinhong K. Guo, Ugur Kuter, Geoffrey Levine, Reid MacTavish, Daniel McFarlane, James Michaelis, Hala Mostafa, Santiago Ontañón, Charles Parker, Jainarayan Radhakrishnan, Antons Rebguns, Bhavesh Shrestha, Zhexuan Song, Ethan Trewhitt, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Gerald DeJong, Thomas G. Dietterich, Subbarao Kambhampati, Victor R. Lesser, Deborah L. McGuinness, Ashwin Ram, Diana F. Spears, Prasad Tadepalli, Elizabeth T. Whitaker, Weng-Keen Wong, James A. Hendler, Martin O. Hofmann, Kenneth R. Whitebread

Proceedings of the Twenty-First Conference on Innovative Applications of Artificial Intelligence, 2009

2008

Explanation-Based Object Recognition.

Geoffrey Levine, Gerald DeJong

Proceedings of the 9th IEEE Workshop on Applications of Computer Vision (WACV 2008), 2008

Active reinforcement learning.

Arkady Epshteyn, Adam Vogel, Gerald DeJong

Proceedings of the Machine Learning, 2008

2007

Robustness through prior knowledge: using explanation-based learning to distinguish handwritten Chinese characters.

Qiang Sun, Li-Lun Wang, Shiau Hong Lim, Gerald DeJong

Int. J. Document Anal. Recognit., 2007

Explanation-Based Feature Construction.

Shiau Hong Lim, Li-Lun Wang, Gerald DeJong

Proceedings of the IJCAI 2007, 2007

2006

Generative Prior Knowledge for Discriminative Classification.

Arkady Epshteyn, Gerald DeJong

J. Artif. Intell. Res., 2006

Qualitative reinforcement learning.

Arkady Epshteyn, Gerald DeJong

Proceedings of the Machine Learning, 2006

Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning.

Gerald DeJong

Proceedings of the Machine Learning: ECML 2006, 2006

Explanation-Based Acquisition of Planning Operators.

Geoffrey Levine, Gerald DeJong

Proceedings of the Sixteenth International Conference on Automated Planning and Scheduling, 2006

Explanation-Based Learning for Image Understanding.

Qiang Sun, Li-Lun Wang, Gerald DeJong

Proceedings of the Proceedings, 2006

2005

Analytic Models and Empirical Search: A Hybrid Approach to Code Optimization.

Arkady Epshteyn, María Jesús Garzarán, Gerald DeJong, David A. Padua, Gang Ren, Xiaoming Li, Kamen Yotov, Keshav Pingali

Proceedings of the Languages and Compilers for Parallel Computing, 2005

Explanation-Augmented SVM: an approach to incorporating domain knowledge into SVM learning.

Qiang Sun, Gerald DeJong

Proceedings of the Machine Learning, 2005

Towards Finite-Sample Convergence of Direct Reinforcement Learning.

Shiau Hong Lim, Gerald DeJong

Proceedings of the Machine Learning: ECML 2005, 2005

Rotational Prior Knowledge for SVMs.

Arkady Epshteyn, Gerald DeJong

Proceedings of the Machine Learning: ECML 2005, 2005

Feature Kernel Functions: Improving SVMs Using High-Level Knowledge.

Qiang Sun, Gerald DeJong

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2003

A comparison of empirical and model-driven optimization.

Kamen Yotov, Xiaoming Li, Gang Ren, Michael Cibulskis, Gerald DeJong, María Jesús Garzarán, David A. Padua, Keshav Pingali, Paul Stodghill, Peng Wu

Proceedings of the ACM SIGPLAN 2003 Conference on Programming Language Design and Implementation 2003, 2003

The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping.

Adam Laud, Gerald DeJong

Proceedings of the Machine Learning, 2003

2002

Reinforcement Learning and Shaping: Encouraging Intended Behaviors.

Adam Laud, Gerald DeJong

Proceedings of the Machine Learning, 2002

2001

Iterated Phantom Induction: A Knowledge-Based Approach to Learning Control.

Mark Brodie, Gerald DeJong

Mach. Learn., 2001

2000

Hidden Strengths and Limitations: An Empirical Investigation of Reinforcement Learning.

Gerald DeJong

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

Learning to Ride a Bicycle using Iterated Phantom Induction.

Mark Brodie, Gerald DeJong

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

1998

Iterated Phantom Induction: A Little Knowledge Can Go a Long Way.

Mark Brodie, Gerald DeJong

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997

Permissive Planning: Extending Classical Planning to Uncertain Task Domains.

Gerald DeJong, Scott W. Bennett

Artif. Intell., 1997

Explanation-Based Learning.

Gerald DeJong

Proceedings of the Computer Science and Engineering Handbook, 1997

1996

Real-World Robotics: Learning to Plan for Robust Execution.

Scott W. Bennett, Gerald DeJong

Mach. Learn., 1996

A Statistical Approach to Adaptive Problem Solving.

Jonathan Gratch, Gerald DeJong

Artif. Intell., 1996

1995

Extending Classical Planning to Real-World Execution with Machine Learning.

Gerald DeJong, Scott W. Bennett

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

GRASPER: A Permissive Planning Robot.

Scott W. Bennett, Gerald DeJong

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

A Case Study of Explanation-Based Control.

Gerald DeJong

Proceedings of the Machine Learning, 1995

1994

Learning to Plan in Continuous Domains.

Gerald DeJong

Artif. Intell., 1994

An Incremental Learning Approach for Completable Planning.

Melinda T. Gervasio, Gerald DeJong

Proceedings of the Machine Learning, 1994

Constructing Simplified Plans Via Truth Criteria Approximation.

Steve A. Chien, Gerald DeJong

Proceedings of the Second International Conference on Artificial Intelligence Planning Systems, 1994

Improving Learning Performance Through Rational Resource Allocation.

Jonathan Gratch, Steve A. Chien, Gerald DeJong

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993

Explanation-based learning for intelligent process planning.

Sang-Chan Park, Melinda T. Gervasio, Michael J. Shaw, Gerald DeJong

IEEE Trans. Syst. Man Cybern., 1993

Learning Search Control Knowledge for Deep Space Network Scheduling.

Jonathan Gratch, Steve A. Chien, Gerald DeJong

Proceedings of the Machine Learning, 1993

Permissive Planning: A Machine Learning Approach to Linking Internal and External Worlds.

Gerald DeJong, Scott W. Bennett

Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993

1992

An Analysis of Learning to Plan as a Search Problem.

Jonathan Gratch, Gerald DeJong

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

COMPOSER: A Probabilistic Solution to the Utility Problem in Speed-Up Learning.

Jonathan Gratch, Gerald DeJong

Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991

Steve Minton, Learning Search Control Knowledge: An Explanation-Based Approach.

Gerald DeJong, Jonathan Gratch

Artif. Intell., 1991

A Hybrid Approach to Guaranteed Effective Control Strategies.

Jonathan Gratch, Gerald DeJong

Proceedings of the Eighth International Workshop (ML91), 1991

On Becoming Decreasingly Reactive: Learning to Deliberate Minimally.

Steve A. Chien, Melinda T. Gervasio, Gerald DeJong

Proceedings of the Eighth International Workshop (ML91), 1991

Comparing Stochastic Planning to the Acquisition of Increasingly Permissive Plans.

Scott W. Bennett, Gerald DeJong

Proceedings of the Eighth International Workshop (ML91), 1991

1990

Learning in Mathematically-Based Domains: Understanding and Generalizing Obstacle Cancellations.

Jude W. Shavlik, Gerald DeJong

Artif. Intell., 1990

1989

Explanation-Based Learning of Reactive Operations.

Melinda T. Gervasio, Gerald DeJong

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

1988

Active Explanation Reduction: An Approach to the Multiple Explanations Problem.

Shankar A. Rajamoney, Gerald DeJong

Proceedings of the Machine Learning, 1988

Some Thoughts on the Present and Future of Explanation-Based Learning.

Gerald DeJong

Proceedings of the 8th European Conference on Artificial Intelligence, 1988

1987

An Explanation-based Approach to Generalizing Number.

Jude W. Shavlik, Gerald DeJong

Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987

The Classification, Detection and Handling of Imperfect Theory Problems.

Shankar A. Rajamoney, Gerald DeJong

Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987

BAGGER: An EBL System that Extends and Generalizes Explanations.

Jude W. Shavlik, Gerald DeJong

Proceedings of the 6th National Conference on Artificial Intelligence. Seattle, 1987

1986

Explanation-Based Learning: An Alternative View.

Gerald DeJong, Raymond J. Mooney

Mach. Learn., 1986

Computer understanding and generalization of symbolic mathematical calculations: a case study in physics problem solving.

Jude W. Shavlik, Gerald DeJong

Proceedings of the Symposium on Symbolic and Algebraic Manipulation, 1986

1985

Towards a Model of Conceptual Knowledge Acquisition Through Directed Experimentation.

Shankar A. Rajamoney, Gerald DeJong, Boi Faltings

Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

Learning Schemata for Natural Language Processing.

Raymond J. Mooney, Gerald DeJong

Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

Explanation-based manipulator learning: Acquisition of planning ability through observation.

Alberto Maria Segre, Gerald DeJong

Proceedings of the 1985 IEEE International Conference on Robotics and Automation, 1985

1983

Artificial Intelligence Implications for Information Retrieval.

Gerald DeJong

Proceedings of the Research and Development in Information Retrieval, 1983

Acquiring Schemata Through Understanding and Generalizing Plans.

Gerald DeJong

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

1982

Automatic Schema Acquisition in a Natural Language Environment.

Gerald DeJong

Proceedings of the National Conference on Artificial Intelligence, 1982

1981

Generalizations Based on Explanations.

Gerald DeJong

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

1980

Conceptual Information Retrieval.

Roger C. Schank, Janet L. Kolodner, Gerald DeJong

Proceedings of the Information Retrieval Research, 1980

1979

Prediction and Substantiation: A New Approach to Natural Language Processing.

Gerald DeJong

Cogn. Sci., 1979

Prediction and Substantiation: Two Processes that Comprise Understanding.

Gerald DeJong

Proceedings of the Sixth International Joint Conference on Artificial Intelligence, 1979

1977

FRUMP...FRUMP...FRUMP...

Gerald DeJong

SIGART Newsl., 1977

Skimming Newspaper Stories by Computer.

Gerald DeJong

Proceedings of the 5th International Joint Conference on Artificial Intelligence. Cambridge, 1977