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» Optimization Algorithms for Large Self-Structuring Networks
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GECCO
2003
Springer
160views Optimization» more  GECCO 2003»
14 years 25 days ago
Using Genetic Algorithms for Data Mining Optimization in an Educational Web-Based System
This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. A comb...
Behrouz Minaei-Bidgoli, William F. Punch
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
14 years 1 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule
ICML
1996
IEEE
14 years 8 months ago
Learning Evaluation Functions for Large Acyclic Domains
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
Justin A. Boyan, Andrew W. Moore
UAI
2008
13 years 9 months ago
Refractor Importance Sampling
In this paper we introduce Refractor Importance Sampling (RIS), an improvement to reduce error variance in Bayesian network importance sampling propagation under evidential reason...
Haohai Yu, Robert van Engelen
ADHOC
2007
101views more  ADHOC 2007»
13 years 7 months ago
Searching strategies for target discovery in wireless networks
— In this paper, we address a fundamental problem concerning the optimal searching strategy in terms of searching cost for the target discovery problem in wireless networks. In o...
Zhao Cheng, Wendi B. Heinzelman