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SSPR
2000
Springer
14 years 11 days ago
A New Approximation Method of the Quadratic Discriminant Function
Abstract. For many statistical pattern recognition methods, distributions of sample vectors are assumed to be normal, and the quadratic discriminant function derived from the proba...
Shinichiro Omachi, Fang Sun, Hirotomo Aso
ESANN
2003
13 years 10 months ago
On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures
Efficient probability density function estimation is of primary interest in statistics. A popular approach for achieving this is the use of finite Gaussian mixture models. Based on...
Cédric Archambeau, John Aldo Lee, Michel Ve...
ECML
2003
Springer
14 years 2 months ago
Improving the AUC of Probabilistic Estimation Trees
Abstract. In this work we investigate several issues in order to improve the performance of probabilistic estimation trees (PETs). First, we derive a new probability smoothing that...
César Ferri, Peter A. Flach, José He...
DKE
2006
67views more  DKE 2006»
13 years 8 months ago
Indexed-based density biased sampling for clustering applications
Density biased sampling (DBS) has been proposed to address the limitations of Uniform sampling, by producing the desired probability distribution in the sample. The ease of produc...
Alexandros Nanopoulos, Yannis Theodoridis, Yannis ...
ICPR
2004
IEEE
14 years 10 months ago
Sample Size Estimation using the Receiver Operating Characteristic Curve
In this paper we describe two related approaches to estimating the sample sizes required to statistically compare the performance of two classifiers: acceptable failure rates (AFR...
Andrew P. Bradley, I. Dennis Longstaff