Concerning some Procedures of Function Approximation Based on the Use of Experimental Data. - Viktor L. Brailovsky (Jerusalem Conference on Information Technology, 1978)

Some procedures for function approximation based on the use of sample data and their application in heuristic methods for solving practical problems. - Viktor L. Brailovsky (Pattern Recognit., 1979)

On the Influence of Sample Set Structure on Decision Rule Quality for the Case of a Linear Discriminant Function. - Victor L. Brailovsky (IEEE Trans. Pattern Anal. Mach. Intell., 1981)

On use of predictive probabilistic estimates for selecting best decision rules in the course of a search. - Victor L. Brailovsky (CVPR, 1988)

A probabilistic estimate of clustering. - Victor L. Brailovsky (ICPR (1), 1990)

Search for the best decision rules with the help of a probabilistic estimate. - Victor L. Brailovsky (Ann. Math. Artif. Intell., 1991)

A probabilistic approach to clustering. - Victor L. Brailovsky (Pattern Recognit. Lett., 1991)

On vector piece-wise regression and clustering. - Victor L. Brailovsky (ICPR (3), 1992)

Application of piece-wise regression to detecting internal structure of signal. - Victor L. Brailovsky; Yulia Kempner (Pattern Recognit., 1992)

Vector piece-wise regression versus clustering (definition and comparative analysis). - Victor L. Brailovsky (Pattern Recognit. Lett., 1992)

Probabilistic validation approach for clustering. - Michael Har-Even; Victor L. Brailovsky (Pattern Recognit. Lett., 1995)

An approach to outlier detection based on Bayesian probabilistic model. - Victor L. Brailovsky (ICPR, 1996)

An approach to form recognition based on non-linear projections, search and optimization. - Victor L. Brailovsky (Pattern Recognit. Lett., 1997)

Detecting a data set structure through the use of nonlinear projections search and optimization. - Victor L. Brailovsky; Michael Har-Even (Kybernetika, 1998)

A reinforced random algorithm for a partial contour perceptual similarity problem. - Konstantin Y. Kupeev; Victor L. Brailovsky (Pattern Recognit. Lett., 1998)

On domain knowledge and feature selection using a support vector machine. - Ofir Barzilay; Victor L. Brailovsky (Pattern Recognit. Lett., 1999)

On global, local, mixed and neighborhood kernels for support vector machines. - Victor L. Brailovsky; Ofir Barzilay; Rabin Shahave (Pattern Recognit. Lett., 1999)

Fast and robust techniques for detecting straight line segments using local models. - Ron Shpilman; Viktor L. Brailovsky (Pattern Recognit. Lett., 1999)