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20192026
most citedA Note on Posterior Probability Estimation for Classifiers

2 citations · 4 across the 5 of their papers we have counts for

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cs.LG2026

Routine Blood Tests Outperform CRP for Distinguishing Bacterial From Viral Infection in Children

Mihaela Demireva, Zhecho Mitev, Djuna Chinareva-Klimentova +3

Acute infectious diseases are among the leading causes of medical consultations and hospitalizations in children worldwide. These infections are predominantly caused by viruses or…

cs.LG2021

Optimal Linear Combination of Classifiers

Georgi Nalbantov, Svetoslav Ivanov

The question of whether to use one classifier or a combination of classifiers is a central topic in Machine Learning. We propose here a method for finding an optimal linear combina…

cs.LG2021★ 1 cited

Predictive Maintenance Tool for Non-Intrusive Inspection Systems

Georgi Nalbantov, Dimitar Todorov, Nikolay Zografov +2

Cross-border security is of topmost priority for societies. Economies lose billions each year due to counterfeiters and other threats. Security checkpoints equipped with X-ray Secu…

cs.LG2019★ 1 cited

Tutorial on Implied Posterior Probability for SVMs

Georgi Nalbantov, Svetoslav Ivanov

Implied posterior probability of a given model (say, Support Vector Machines (SVM)) at a point is an estimate of the class posterior probability pertaining to the class of…

cs.LG2019★ 2 cited

A Note on Posterior Probability Estimation for Classifiers

Georgi Nalbantov, Svetoslav Ivanov

One of the central themes in the classification task is the estimation of class posterior probability at a new point . The vast majority of classifiers output a score for $…