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» Evolving Multilayer Perceptrons
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ESANN
1998
13 years 8 months ago
NAR time-series prediction: a Bayesian framework and an experiment
: We extend the Bayesian framework to Multi-Layer Perceptron models of Non-linear Auto-Regressive time-series. The approach is evaluated on an artificial time-series and some commo...
Michel Crucianu, Crucianu Uhry, Jean Pierre Asseli...
PAKDD
2010
ACM
212views Data Mining» more  PAKDD 2010»
14 years 8 days ago
Fast Perceptron Decision Tree Learning from Evolving Data Streams
Abstract. Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffdi...
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer...
IFSA
2007
Springer
102views Fuzzy Logic» more  IFSA 2007»
14 years 1 months ago
Strict Generalization in Multilayered Perceptron Networks
Typically the response of a multilayered perceptron (MLP) network on points which are far away from the boundary of its training data is not very reliable. When test data points ar...
Debrup Chakraborty, Nikhil R. Pal
CORR
2008
Springer
80views Education» more  CORR 2008»
13 years 7 months ago
Multi-Layer Perceptrons and Symbolic Data
In some real world situations, linear models are not sufficient to represent accurately complex relations between input variables and output variables of a studied system. Multila...
Fabrice Rossi, Brieuc Conan-Guez
IJON
2008
105views more  IJON 2008»
13 years 6 months ago
Estimating the number of components in a mixture of multilayer perceptrons
BIC criterion is widely used by the neural-network community for model selection tasks, although its convergence properties are not always theoretically established. In this paper...
Madalina Olteanu, Joseph Rynkiewicz