Improving system performance in case-based iterative optimization through knowledge filtering

Authors:
Kazuo Miyashita;Katia Sycara
Affiliations:
Electrotechnical Laboratory, Tsukuba, Ibaraki, Japan and Matsushita Electric Industrial Co. Ltd.;The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA
Venue:
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Year:
1995

Citing 8
Cited 3

Case-based planning: viewing planning as a memory task

Case-based planning: viewing planning as a memory task
A validation-structure-based theory of plan modification and reuse

Artificial Intelligence
Information Filtering: Selection Mechanisms in Learning Systems

Machine Learning
Case-based reasoning

Case-based reasoning
Case-based acquisition of user preferences for solution improvement in ill-structured domains

AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
CABINS: a framework of knowledge acquisition and iterative revision for schedule improvement and reactive repair

Artificial Intelligence - Special volume on planning and scheduling
Learning Search Control Knowledge: An Explanation-Based Approach

Learning Search Control Knowledge: An Explanation-Based Approach
Induction of Decision Trees

Machine Learning

Optimization of Association Word Knowledge Base through Genetic Algorithm

DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
Dynamic Adaptive Case Library for Continuous Domains

Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Dynamic Adaptive Case Library for Continuous Domains

Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

Many representations in early vision can be constructed by performing orientation analysis along several sampling dimensions. Texture is often oriented in space, motion is oriented in space-time, and stereo is oriented in space-disparity. In these modalities, ...