364 search results - page 58 / 73 » Regularization Learning of Neural Networks for Generalizatio... |
129
Voted
GECCO
1999
Springer
15 years 6 months ago
1999
Springer
In this paper, we apply an evolutionary algorithm to learning behavior on a novel, interesting task to explore the general issue of learning e ective behaviors in a complex enviro...
120
Voted
LWA
2004
15 years 3 months ago
2004
This paper reports first results of an empirical study of the precision of classification rules on an independent test set. We generated a large number of rules using a general co...
124
click to vote
CORR
2008
Springer
15 years 2 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
139
click to vote
TNN
2010
14 years 9 months ago
2010
Abstract--An Elman network (EN) can be viewed as a feedforward (FF) neural network with an additional set of inputs from the context layer (feedback from the hidden layer). Therefo...
91
Voted
GECCO
2007
Springer
15 years 8 months ago
2007
Springer
We present a new framework for artificial life involving physically simulated, three-dimensional blocks called Division Blocks. Division Blocks can grow and shrink, divide and fo...