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COLT
2000
Springer
14 years 2 months ago
PAC Analogues of Perceptron and Winnow via Boosting the Margin
We describe a novel family of PAC model algorithms for learning linear threshold functions. The new algorithms work by boosting a simple weak learner and exhibit complexity bounds...
Rocco A. Servedio
MCS
2001
Springer
14 years 2 months ago
Automatic Model Selection in a Hybrid Perceptron/Radial Network
We provide several enhancements to our previously introduced algorithm for a sequential construction of a hybrid network of radial and perceptron hidden units [6]. At each stage, ...
Shimon Cohen, Nathan Intrator
COLT
1998
Springer
14 years 1 months ago
Large Margin Classification Using the Perceptron Algorithm
We introduce and analyze a new algorithm for linear classification which combines Rosenblatt's perceptron algorithm with Helmbold and Warmuth's leave-one-out method. Like...
Yoav Freund, Robert E. Schapire
ICANN
2007
Springer
14 years 1 months ago
An Efficient Method for Pruning the Multilayer Perceptron Based on the Correlation of Errors
Abstract. In this paper we present a novel method for pruning redundant weights of a trained multilayer Perceptron (MLP). The proposed method is based on the correlation analysis o...
Cláudio M. S. Medeiros, Guilherme De A. Bar...
EVOW
2010
Springer
14 years 29 days ago
Local Search Algorithms on Graphics Processing Units. A Case Study: The Permutation Perceptron Problem
Optimization problems are more and more complex and their resource requirements are ever increasing. Although metaheuristics allow to significantly reduce the computational complex...
Thé Van Luong, Nouredine Melab, El-Ghazali ...