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» Semi-Naive Bayesian Classifier
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BMVC
2001
13 years 10 months ago
Classifying Surveillance Events from Attributes and Behaviour
In order to develop a high-level description of events unfolding in a typical surveillance scenario, each successfully tracked event must be classified into type and behaviour. I...
Paolo Remagnino, Graeme A. Jones
ESANN
2007
13 years 9 months ago
Classifying n-back EEG data using entropy and mutual information features
In this work we show that entropy (H) and mutual information (MI) can be used as methods for extracting spatially localized features for classification purposes. In order to incre...
Liang Wu, Predrag Neskovic, Etienne Reyes, Elena F...
NIPS
1990
13 years 8 months ago
Convergence of a Neural Network Classifier
In this paper, we show that the LVQ learning algorithm converges to locally asymptotic stable equilibria of an ordinary differential equation. We show that the learning algorithm ...
John S. Baras, Anthony LaVigna
ICML
1998
IEEE
14 years 8 months ago
Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting
In a recent paper, Friedman, Geiger, and Goldszmidt [8] introduced a classifier based on Bayesian networks, called Tree Augmented Naive Bayes (TAN), that outperforms naive Bayes a...
Moisés Goldszmidt, Nir Friedman, Thomas J. ...
IJBIDM
2006
78views more  IJBIDM 2006»
13 years 7 months ago
Appraisal of companies with Bayesian networks
: Appraisal of companies is an important business activity. We mainly apply Bayesian networks for this classification task for Japanese electric company data. Firstly, few standard...
Priyantha Wijayatunga, Shigeru Mase, Masanori Naka...