Statistical inference

Stochastic learning-based weak estimation of multinomial random variables and its applications to pattern recognition in non-stationary environments

Pattern Recognition

On the estimation of independent binomial random variables using occurrence and sequential information

Pattern Recognition

A definition of partial derivative of random functions and its application to RBFNN sensitivity analysis

Neurocomputing

An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules

MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition

Estimation of claim size distributions in Estonian traffic insurance

ACC'10 Proceedings of the 2010 international conference on Applied computing conference

On utilizing stochastic learning weak estimators for training and classification of patterns with non-stationary distributions

KI'05 Proceedings of the 28th annual German conference on Advances in Artificial Intelligence

RC-DCA: a new feature selection and signal categorization technique for the dendritic cell algorithm based on rough set theory

ICARIS'12 Proceedings of the 11th international conference on Artificial Immune Systems