Publicou 12 edições por ano
ISSN Imprimir: 1064-2315
ISSN On-line: 2163-9337
Indexed in
Comparative Analysis of Recognition Methods of Inflammatory Processes at the Gliomas of Brain
RESUMO
The use of Bayesian recognition procedure is described for the Markov chains and the method of k-nearest neighbors for the indices of ESR (erythrocyte sedimentation rate) at brain gliomas. The obtained results showed that the indicated methods are inferior to Bayesian recognition procedures with independent attributes.
-
Gupal A.M., Sergienko I.V., Optimal recognition procedures.
-
Gridina N.Ya., Gupal A.M., Tarasov A.L., Expert system of analyzing brain gliomas progressions.
-
Sergienko I.V., Gridina N.Ya., Gupal A.M., Tarasov A.L., The use of Bayesian recognition procedure by erythrocyte sedimentation rate when brain gliomas.
-
Palagin A.V., Gridina N.Ya., Gupal A.M., Tarasov A.L., Computer-based system of analysis of erythrocyte sedimentation rate factors at brain gliomas.
-
Sergienko I.V., Gridina N.Ya., Gupal A.M., Tarasov A.L., Bayesian procedure of brain gliomas recognition.
-
Vorontsov K.V., Lectures on metrical algorithms of classification.
-
Anderson T.W., Goodman L.A., Statistical inference about Markov chains.
-
Gridina N. Ja., Gupal A. M., Tarasov A. L., Bayesian Recognition of Inflammatory Processes in Brain Gliomas, Cybernetics and Systems Analysis, 53, 3, 2017. Crossref
-
Tarasov A.L., Gupal A.M., Gridina N.Ya., Modification of the Use of Bayesian Recognition Procedures for Inflammatory Processes in Gliomas, Metastasis and Meningiomas by Indicators of Erythrocyte Sedimentation Rate, Cybernetics and Computer Technologies, 2, 2021. Crossref