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COLLECTIVE OF NONPARAMETRIC REGRESSIONS BASED ON DECOMPOSITION OF TRAINING SAMPLE
Lapko A.V., Lapko V.A., Varochkin S.S.
Nonparametric estimation of a mix probability density ,based on technology duplication of statistical data
Lapko A.V., Lapko V.A.
THE ANALYSIS OF ASYMPTOTIC PROPERTIES OF MULTIDIMENTIONAL NONPARAMETRIC REGRESSION
Lapko A.V., Lapko V.A.
COLLECTIVE OF MANY-DIMENSIONAL NONPARAMETRIC REGRESSIONS, GROUNDED ON DECOMPOSITION OF LEARNING SAMPLE ACCORDING TO ITS SIZE
Lapko A.V., Lapko V.A.
PROPERTIES OF A NONPARAMETRIC ESTIMATION OF THE EQUATIONOF A SEPARATING SURFACE IN THE PATTERN RECOGNITION TASKAT CASUAL VALUES OF FUZZINESS COEFFICIENTS OF KERNEL FUNCTIONS
Lapko A.V., Lapko V.A., Lapko A.V., Lapko V.A.
ANALYSIS OF PROPERTIES OF MIXTURE OF NONPARAMETRIC ESTIMATIONSOF A PROBABILITY DENSITY OF A MULTIDIMENSIONAL RANDOM VARIABLE
Lapko A.V., Lapko V.A., Lapko A.V., Lapko V.A.
NONPARAMETRIC REGRESSION IN THE CONDITIONS OF PARTIAL DATAON A MODE OF RESTORED LEGITIMACIES
Lapko A.V., Lapko V.A., Lapko A.V., Lapko V.A.
HYBRID ALGORITHM OF PATTERN RECOGNITION AND ITS PROPER TIES
Lapko A., Lapko V.A., Sarenkov A.
Development and research of nonparametric estimationof probability density based on the principle of training sample decomposition according to its volume
Lapko V.A., Varochkin S.S., Egorochkin I.A.
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