Gerald DeJong

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

Gerald DeJong, Scott Bennett, Scott W. Bennett, 1993, AAAI.

Conceptual information retrieval

Gerald DeJong, Roger C. Schank, Janet L. Kolodner, 1980, SIGIR '80.

BAGGER: An EBL System that Extends and Generalizes Explanations

Gerald DeJong, Jude W. Shavlik, J. Shavlik, 1987, AAAI.

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

Gerald DeJong, Shiau Hong Lim, Li-Lun Wang, 2009, Pattern Recognit..

A comparison of empirical and model-driven optimization

Gang Ren, David A. Padua, Gerald DeJong, 2003, PLDI '03.

Explanation-Based Learning

Gerald DeJong, Shiau Hong Lim, G. DeJong, 2014, Encyclopedia of Machine Learning and Data Mining.

Robotics with Natural Language Comprehension and Learning Abilities.

Gerald DeJong, 1985 .

Artificial intelligence implications for information retrieval

Gerald DeJong, 1983, SIGIR 1983.

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

Gerald DeJong, G. DeJong, 1988, European Conference on Artificial Intelligence.

Completable Scheduling: An Integrated Approach to Planning and Scheduling

Gerald DeJong, Melinda T. Gervasio, 1992 .

Utility Generalization and Composability Problems in Explanation-Based Learning.

Gerald DeJong, Jonathan M. Gratch, G. DeJong, 1991 .

An Analysis of Learning to Plan as a Search Problem

Gerald DeJong, Jonathan Gratch, G. DeJong, 1992, ML.

Learning to Plan in Continuous Domains

Gerald DeJong, G. DeJong, 1994, Artif. Intell..

Explanation-Based Learning: An Alternative View

Gerald DeJong, Raymond J. Mooney, 2005, Machine Learning.

Explanation-Based Acquisition of Planning Operators

Gerald DeJong, Geoffrey Levine, G. DeJong, 2006, ICAPS.

Integration of Machine Learning and Sensor-Based Control in Intelligent Robotic Systems

Mark W. Spong, Gerald DeJong, Seth Hutchinson, 1993, 1993 American Control Conference.

A Hybrid Approach to Guaranteed Effective Control Strategies

Gerald DeJong, Jonathan Gratch, 1991, ML.

Acquiring general iterative concepts by reformulating explanations observed examples

Gerald DeJong, Jude Shavlik, J. Shavlik, 1990 .

Active reinforcement learning

Gerald DeJong, Adam Vogel, Arkady Epshteyn, 2008, ICML '08.

Automatic Model Adaptation for Complex Structured Domains

Gerald DeJong, Dan Roth, Shankar Vembu, 2010, ECML/PKDD.

Completable Planning: A Curative Learning Approach to the Imperfect Theory Problem

Gerald DeJong, Melinda T. Gervasio, G. DeJong, 1996 .

Explanation-Based Learning

Gerald DeJong, Shiau Hong Lim, G. DeJong, 2014, Encyclopedia of Machine Learning and Data Mining.

Skimming Newspaper Stories by Computer

Gerald DeJong, G. DeJong, 1977, IJCAI.

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

Gerald DeJong, Jonathan Gratch, G. DeJong, 1991, Artif. Intell..

Reinforcement Learning and Shaping: Encouraging Intended Behaviors

Gerald DeJong, Adam Laud, G. DeJong, 2002, ICML.

Qualitative reinforcement learning

Gerald DeJong, Arkady Epshteyn, G. DeJong, 2006, ICML.

Learning Search Control Knowledge for Deep Space Network Scheduling

Gerald DeJong, Jonathan Gratch, Steve A. Chien, 1993, ICML.

Improving Learning Performance Through Rational Resource Allocation

Gerald DeJong, Jonathan Gratch, Steve A. Chien, 1994, AAAI.

Comparing Stochastic Planning to the Acquisition of Increasingly Permissive Plans

Gerald DeJong, Scott Bennett, 1991, ML.

Hidden Strengths and Limitations: An Empirical Investigation of Reinforcement Learning

Gerald DeJong, G. DeJong, 2000, ICML.

LORE: A loop repository for the evaluation of compilers

Zhi Chen, Josep Torrellas, David A. Padua, 2017, 2017 IEEE International Symposium on Workload Characterization (IISWC).

Combining prior knowledge and data: beyond the bayesian framework

Gerald DeJong, Arkady Epshteyn, 2007 .

Acquiring Special Case Schemata in Explanation-Based Learning

Gerald DeJong, Brian H. Ross, Jude Shavlik, 1987 .

Generalizations Based on Explanations

Gerald DeJong, G. DeJong, 1981, IJCAI.

Active Explanation Reduction: An Approach to the Multiple Explanations Problem

Gerald DeJong, Shankar A. Rajamoney, G. DeJong, 1988, ML.

On Integrating Machine Learning with Planning

Gerald DeJong, Melinda T. Gervasio, Scott W. Bennett, 1993 .

An Incremental Learning Approach for Completable Planning

Gerald DeJong, Melinda T. Gervasio, G. DeJong, 1994, ICML.

Investigating Explanation-Based Learning

Gerald DeJong, 1992 .

Deciding When and How to Learn

Steve Chien, Gerald DeJong, Steve Ankuo Chien, 1994 .

Rational learning: Finding a balance between utility and efficiency

Gerald DeJong, Jonathan M. Gratch, Youhong Yang, 1992 .

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

Gang Ren, David A. Padua, Gerald DeJong, 2005, LCPC.

Learning Indices for Conceptual Information Retrieval: An Application of Explanation-Based Learning in Natural Language Processing.

Gerald DeJong, Raymond J. Mooney, R. Mooney, 1987 .

Explanation-Based Learning for Image Understanding

Qiang Sun, Gerald DeJong, Li-Lun Wang, 2006, AAAI.

UNDERSTANDING NOVEL LANGUAGE††This work was supported in part by the Office of Naval Research under Contract N00014-75-C-0612, and in part by the National Science Foundation under Grants NSF 1ST 81-17238 and NSF 1ST 81-20254.

Gerald DeJong, David L. Waltz, D. Waltz, 1983 .

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

Qiang Sun, Gerald DeJong, G. DeJong, 2005, ICML.

Acquiring Schemata Through Understanding and Generalizing Plans

Gerald DeJong, G. DeJong, 1983, IJCAI.

Explanation-based approach to incorporating domain knowledge into support vector machine: theory and applications

Qiang Sun, Gerald DeJong, G. DeJong, 2005 .

Prediction and Substantiation: Two Processes that Comprise Understanding

Gerald DeJong, 1979, IJCAI.

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

Gerald DeJong, Mark Brodie, 1998, AAAI/IAAI.

Incrementally Increasing the Uncertainty-Tolerance of Robotic Manipulation Plans

Gerald DeJong, Scott W. Bennett, 1991 .

On Becoming Decreasingly Reactive: Learning to Deliberate Minimally

Gerald DeJong, Steve A. Chien, Melinda T. Gervasio, 1991, ML.

Prediction and Substantiation: A New Approach to Natural Language Processing

Gerald DeJong, G. DeJong, 1979, Cogn. Sci..

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

Gerald DeJong, Adam Laud, G. DeJong, 2003, ICML.

Feature kernel functions: improving SVMs using high-level knowledge

Qiang Sun, Gerald DeJong, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Learning to integrate reactivity and deliberation in uncertain planning and scheduling problems

Steve Chien, Gerald DeJong, Steve Ankuo Chien, 1992 .

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

Gerald DeJong, Mark Brodie, G. DeJong, 2001, Machine Learning.

Automatic Schema Acquisition in a Natural Language Environment

Gerald DeJong, 1982, AAAI.

Explanation-Based Learning with Plausible Inferencing

Gerald DeJong, 1990 .

Explanation

Subbarao Kambhampati, Krzysztof Krawiec, Moshe Sipper, 1953, Cladistics : the international journal of the Willi Hennig Society.

Evolutionary Computing

Subbarao Kambhampati, Krzysztof Krawiec, Moshe Sipper, 1997, Lecture Notes in Computer Science.

Extending Classical Planning to Real-World Execution with Machine Learning

Gerald DeJong, Scott Bennett, Scott W. Bennett, 1995, IJCAI.

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

Gerald DeJong, Alberto Maria Segre, G. DeJong, 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

Explanation-Based Object Recognition

Gerald DeJong, Geoffrey Levine, G. DeJong, 2008, 2008 IEEE Workshop on Applications of Computer Vision.

Object Detection by Estimating and Combining High-Level Features

Gerald DeJong, Geoffrey Levine, G. DeJong, 2009, ICIAP.

A Framework of Simplifications in Learning to Plan

Gerald DeJong, Jonathan Gratch, 1992 .

A completable approach to integrating planning and scheduling

Gerald DeJong, Melinda T. Gervasio, 1992 .

Real-World Robotics: Learning to Plan for Robust Execution

Gerald DeJong, Scott Bennett, Scott W. Bennett, 2005, Machine Learning.

Explanation-Based Learning of Reactive Operations

Gerald DeJong, Melinda T. Gervasio, 1989, ML.

Artificial intelligence implications for information retrieval

Gerald DeJong, G. DeJong, 1983, SIGIR '83.

An Ensemble Learning and Problem Solving Architecture for Airspace Management

Santiago Ontañón, James A. Hendler, Thomas G. Dietterich, 2009, IAAI.

Learning Probably Completable Plans

Gerald DeJong, Melinda T. Gervasio, 1991 .

Explanation-Based Control of the Acrobot

Gerald DeJong, 1994 .

Learning Schemata for Natural Language Processing

Gerald DeJong, Raymond J. Mooney, R. Mooney, 1985, IJCAI.

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

Gerald DeJong, Jonathan Gratch, G. DeJong, 1992, AAAI.

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

Santiago Ontañón, James A. Hendler, Thomas G. Dietterich, 2012, TIST.

Towards a Model of Conceptual Knowledge Acquisition Through Directed Experimentation

Gerald DeJong, Boi Faltings, Shankar A. Rajamoney, 1985, IJCAI.

Rotational Prior Knowledge for SVMs

Gerald DeJong, Arkady Epshteyn, G. DeJong, 2005, ECML.

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

Gerald DeJong, Jude W. Shavlik, J. Shavlik, 1986, SYMSAC '86.

Towards Finite-Sample Convergence of Direct Reinforcement Learning

Gerald DeJong, Shiau Hong Lim, 2005, ECML.

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

Qiang Sun, Gerald DeJong, Shiau Hong Lim, 2007, International Journal of Document Analysis and Recognition (IJDAR).

Automatic Topic Model Adaptation for Sentiment Analysis in Structured Domains

Gerald DeJong, Geoffrey Levine, G. DeJong, 2011, IJCNLP.

Schema Acquisition from One Example: Psychological Evidence for Explanation-Based Learning.

Gerald DeJong, Raymond J. Mooney, William F. Brewer, 1987 .

Explanation-Based Learning

Gerald DeJong, Shiau Hong Lim, G. DeJong, 2014, Computing Handbook, 3rd ed..

Frump...frump...frump

Gerald DeJong, G. DeJong, 1977, SIGART Newsl..

GRASPER: A Permissive Planning Robot

Gerald DeJong, Scott Bennett, 1995, IJCAI.

Understanding Novel Language.

Gerald DeJong, David L. Waltz, 1983 .

Explanation-based Mechanisms for Learning: An Interdisciplinary Approach

Gerald DeJong, Joseph Jay Williams, Tania Lombrozo, 2011, CogSci.

Untutored Concept Learning.

Gerald DeJong, G. DeJong, 1983 .

A Statistical Approach to Adaptive Problem Solving

Gerald DeJong, Jonathan Gratch, G. DeJong, 1996, Artif. Intell..

Explanation-Based Feature Construction

Gerald DeJong, Shiau Hong Lim, Li-Lun Wang, 2007, IJCAI.

A Model of Attention Focussing During Problem Solving

Gerald DeJong, Jude Shavlik, 1986 .

Constructing Simplified Plans Via Truth Criteria Approximation

Gerald DeJong, Steve A. Chien, 1994, AIPS.

Learning to Ride a Bicycle using Iterated Phantom Induction

Gerald DeJong, Mark Brodie, 1999, ICML.

A Case Study of Explanation-Based Control

Gerald DeJong, G. DeJong, 1995, ICML.

Explanation-based learning for intelligent process planning

Michael J. Shaw, Gerald DeJong, Sang-Chan Park, 1993, IEEE Trans. Syst. Man Cybern..

A brief overview of explanatory schema acquisition

Gerald DeJong, G. DeJong, 1986 .

AI Can Rival Control Theory for Goal Achievement in a Challenging Dynamical System

Gerald DeJong, G. DeJong, 1999 .

Prediction and substantiation: A new approach to natural language processing

Gerald DeJong, 1979 .

The Classification, Detection and Handling of Imperfect Theory Problems

Gerald DeJong, Shankar A. Rajamoney, G. DeJong, 1987, IJCAI.

An Overview of the FRUMP System Introduction

Gerald DeJong, G. DeJong, 2014 .

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

Gerald DeJong, G. DeJong, 2006, ECML.

An Explanation-based Approach to Generalizing Number

Gerald DeJong, Jude W. Shavlik, J. Shavlik, 1987, IJCAI.