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» Probabilistic Neural Network Models for Sequential Data
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TSMC
2002
134views more  TSMC 2002»
13 years 8 months ago
Incorporating soft computing techniques into a probabilistic intrusion detection system
There are a lot of industrial applications that can be solved competitively by hard computing, while still requiring the tolerance for imprecision and uncertainty that can be explo...
Sung-Bae Cho
ICMLA
2008
13 years 9 months ago
Detection of Sequential Outliers Using a Variable Length Markov Model
Mining for outliers in sequential databases is crucial to forward appropriate analysis of data. Therefore, many approaches for the discovery of such anomalies have been proposed. ...
Cécile Low-Kam, Anne Laurent, Maguelonne Te...
KDD
1995
ACM
114views Data Mining» more  KDD 1995»
13 years 12 months ago
Designing Neural Networks from Statistical Models: A New Approach to Data Exploration
We develop,in the context of discriminantanalysis,a generalapproachto the designof neuralarchitectures. It consistsin building a neuralnet ‘around’a statistical model family; ...
Antonio Ciampi, Yves Lechevallier
ESANN
2001
13 years 9 months ago
Some known facts about financial data
: Many researchers are interesting in applying the neural networks methods to financial data. In fact these data are very complex, and classical methods do not always give satisfac...
Eric de Bodt, Joseph Rynkiewicz, Marie Cottrell
TNN
1998
123views more  TNN 1998»
13 years 8 months ago
A general framework for adaptive processing of data structures
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
Paolo Frasconi, Marco Gori, Alessandro Sperduti