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» On higher-order perceptron algorithms
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ICDAR
1999
IEEE
14 years 23 days ago
Cursive Character Detection using Incremental Learning
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...
Jean-François Hébert, Marc Parizeau,...
MCS
2001
Springer
14 years 27 days 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
SBRN
2002
IEEE
14 years 1 months ago
Neural Connect 4 - A Connectionist Approach to the Game
This article presents the system “Neural Connect 4”, a program that plays the game Connect Four. This system employs the multilayer perceptron architecture which is learning t...
Marvin Oliver Schneider, João Luís G...
DCC
2009
IEEE
14 years 9 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
IJON
2000
105views more  IJON 2000»
13 years 8 months ago
G-Prop: Global optimization of multilayer perceptrons using GAs
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
Pedro A. Castillo Valdivieso, Juan J. Merelo Guerv...