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» Optimizing number of hidden neurons in neural networks
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GECCO
2008
Springer
138views Optimization» more  GECCO 2008»
13 years 9 months ago
Modular neuroevolution for multilegged locomotion
Legged robots are useful in tasks such as search and rescue because they can effectively navigate on rugged terrain. However, it is difficult to design controllers for them that ...
Vinod K. Valsalam, Risto Miikkulainen
BMCBI
2010
224views more  BMCBI 2010»
13 years 8 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
NIPS
1996
13 years 9 months ago
Early Brain Damage
Optimal Brain Damage (OBD) is a method for reducing the number of weights in a neural network. OBD estimates the increase in cost function if weights are pruned and is a valid app...
Volker Tresp, Ralph Neuneier, Hans-Georg Zimmerman...
MLDM
2007
Springer
14 years 2 months ago
Ensemble-based Feature Selection Criteria
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
Terry Windeatt, Matthew Prior, Niv Effron, Nathan ...
AHSWN
2006
148views more  AHSWN 2006»
13 years 8 months ago
Geometric Chemotaxis: A Biologically-Inspired Framework for a Class of Wireless Coverage Problems
Abstract-- We present a new, biologically-inspired algorithm for the problem of covering a given region with wireless "units" (sensors or base-stations). The general prob...
Hidayet Ozgur Sanli, Rahul Simha, Bhagirath Naraha...