181 results on '"Gerald DeJong"'
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2. Automatic Topic Model Adaptation for Sentiment Analysis in Structured Domains.
3. Automatic Model Adaptation for Complex Structured Domains.
4. Object Detection by Estimating and Combining High-Level Features.
5. Active reinforcement learning.
6. Explanation-Based Object Recognition.
7. Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning.
8. Explanation-Based Acquisition of Planning Operators.
9. Qualitative reinforcement learning.
10. Explanation-Based Learning for Image Understanding.
11. Feature Kernel Functions: Improving SVMs Using High-Level Knowledge.
12. Towards Finite-Sample Convergence of Direct Reinforcement Learning.
13. Rotational Prior Knowledge for SVMs.
14. Analytic Models and Empirical Search: A Hybrid Approach to Code Optimization.
15. Explanation-Augmented SVM: an approach to incorporating domain knowledge into SVM learning.
16. A comparison of empirical and model-driven optimization.
17. The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping.
18. Reinforcement Learning and Shaping: Encouraging Intended Behaviors.
19. An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration.
20. Hidden Strengths and Limitations: An Empirical Investigation of Reinforcement Learning.
21. Learning to Ride a Bicycle using Iterated Phantom Induction.
22. Integrating prior domain knowledge into discriminative learning using automatic model construction and phantom examples.
23. Iterated Phantom Induction: A Little Knowledge Can Go a Long Way.
24. Robustness through prior knowledge: using explanation-based learning to distinguish handwritten Chinese characters.
25. Generative Prior Knowledge for Discriminative Classification.
26. Extending Classical Planning to Real-World Execution with Machine Learning.
27. A Case Study of Explanation-Based Control.
28. Constructing Simplified Plans Via Truth Criteria Approximation.
29. An Incremental Learning Approach for Completable Planning.
30. Improving Learning Performance Through Rational Resource Allocation.
31. Explanation-based Mechanisms for Learning: An Interdisciplinary Approach.
32. Learning Search Control Knowledge for Deep Space Network Scheduling.
33. Permissive Planning: A Machine Learning Approach to Linking Internal and External Worlds.
34. An Analysis of Learning to Plan as a Search Problem.
35. COMPOSER: A Probabilistic Solution to the Utility Problem in Speed-Up Learning.
36. An Ensemble Learning and Problem Solving Architecture for Airspace Management.
37. Comparing Stochastic Planning to the Acquisition of Increasingly Permissive Plans.
38. A Hybrid Approach to Guaranteed Effective Control Strategies.
39. On Becoming Decreasingly Reactive: Learning to Deliberate Minimally.
40. Iterated Phantom Induction: A Knowledge-Based Approach to Learning Control.
41. Permissive Planning: Extending Classical Planning to Uncertain Task Domains.
42. A Statistical Approach to Adaptive Problem Solving.
43. Real-World Robotics: Learning to Plan for Robust Execution.
44. Learning to Plan in Continuous Domains.
45. Generative Prior Knowledge for Discriminative Classification
46. Explanation-based learning for intelligent process planning.
47. Steve Minton, Learning Search Control Knowledge: An Explanation-Based Approach.
48. Learning in Mathematically-Based Domains: Understanding and Generalizing Obstacle Cancellations.
49. Explanation-based learning in infancy
50. Explanation-Based Learning.
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