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CDC
2008
IEEE
113views Control Systems» more  CDC 2008»
15 years 11 months ago
Norm optimal Cross-Coupled Iterative Learning Control
— In this paper, we focus on improving contour tracking in precision motion control (PMC) applications through the use of Cross-Coupled Iterative Learning Control (CCILC). Initia...
Kira Barton, Jeroen van de Wijdeven, Andrew Alleyn...
134
Voted
AAAI
1998
15 years 5 months ago
Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
This paper describes STAGE, a learning approach to automatically improving search performance on optimization problems.STAGElearns an evaluation function which predicts the outcom...
Justin A. Boyan, Andrew W. Moore
ML
2002
ACM
146views Machine Learning» more  ML 2002»
15 years 4 months ago
Variable Resolution Discretization in Optimal Control
Abstract. The problemof state abstractionis of centralimportancein optimalcontrol,reinforcement learning and Markov decision processes. This paper studies the case of variable reso...
Rémi Munos, Andrew W. Moore
CVPR
2001
IEEE
16 years 6 months ago
Optimal Adaptive Learning for Image Retrieval
Learning-enhanced relevance feedback is one of the most promising and active research directions in recent year's content-based image retrieval. However, the existing approac...
Tao Wang, Yong Rui, Shi-Min Hu
ICCAD
1995
IEEE
88views Hardware» more  ICCAD 1995»
15 years 8 months ago
LOT: logic optimization with testability-new transformations using recursive learning
: A new approach to optimize multi-level logic circuits is introduced. Given a multi-level circuit, the synthesis method optimizes its area, simultaneously enhancing its random pat...
Mitrajit Chatterjee, Dhiraj K. Pradhan, Wolfgang K...