Vladimir B. Berikov

Semi-supervised Classification Using Multiple Clustering and Low-Rank Matrix Operations

Vladimir B. Berikov, V. Berikov, 2019, MOTOR.

Construction of the Ensemble of Logical Models in Cluster Analysis

Vladimir B. Berikov, 2009, ICIC.

Bayesian Model of Recognition on a Finite Set of Events

Vladimir B. Berikov, Gennady Lbov, 2008, SETN.

Weighted ensemble of algorithms for complex data clustering

Vladimir B. Berikov, 2014, Pattern Recognit. Lett..

Construction of an Event Tree on the Basis of Expert Knowledge and Time Series

Vladimir B. Berikov, Gennady Lbov, 2007, KONT/KPP.

Regression Analysis with Cluster Ensemble and Kernel Function

Vladimir B. Berikov, Taisiya Vinogradova, V. Berikov, 2018, AIST.

A Latent Variable Pairwise Classification Model of a Clustering Ensemble

Vladimir B. Berikov, 2011, MCS.

Cluster Ensemble with Averaged Co-Association Matrix Maximizing the Expected Margin

Vladimir B. Berikov, 2016, DOOR.

An approach to the evaluation of the performance of a discrete classifier

Vladimir B. Berikov, 2002, Pattern Recognit. Lett..

Ensemble clustering based on weighted co-association matrices: Error bound and convergence properties

Vladimir B. Berikov, Igor Pestunov, V. Berikov, 2017, Pattern Recognit..

The influence of prior knowledge on the expected performance of a classifier

Alexander Litvinenko, Vladimir B. Berikov, 2003, Pattern Recognit. Lett..

Semi-Supervised Regression using Cluster Ensemble and Low-Rank Co-Association Matrix Decomposition under Uncertainties pdf

Alexander Litvinenko, Vladimir B. Berikov, V. Berikov, 2019, Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019).

Weakly Supervised Regression Using Manifold Regularization and Low-Rank Matrix Representation

Alexander Litvinenko, Vladimir B. Berikov, 2021, MOTOR.