Annealing Optimization for Progressive Learning With Stochastic Approximation
Author:
Affiliation:
1. Department of Electrical and Computer Engineering and the Institute for Systems Research, University of Maryland, College Park, MD, USA
Funder
Defense Advanced Research Projects Agency
ONR
Northrop Grumman Corporation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9/10109211/10002308.pdf?arnumber=10002308
Reference44 articles.
1. Prototype-based models in machine learning
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4. Vector Quantization for Adaptive State Aggregation in Reinforcement Learning
5. Topology preservation in SOM;uriarte;Int J Appl Math Comput Sci,2005
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