Vladimir B. Berikov

According to our database1, Vladimir B. Berikov authored at least 13 papers between 2002 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Bibliography

2020
Heterogeneous Transfer Learning in Ensemble Clustering.
CoRR, 2020

2019
Semi-Supervised Regression using Cluster Ensemble and Low-Rank Co-Association Matrix Decomposition under Uncertainties.
CoRR, 2019

Semi-supervised Classification Using Multiple Clustering and Low-Rank Matrix Operations.
Proceedings of the Mathematical Optimization Theory and Operations Research, 2019

2018
Regression Analysis with Cluster Ensemble and Kernel Function.
Proceedings of the Analysis of Images, Social Networks and Texts, 2018

2017
Ensemble clustering based on weighted co-association matrices: Error bound and convergence properties.
Pattern Recognit., 2017

2016
Cluster Ensemble with Averaged Co-Association Matrix Maximizing the Expected Margin.
Proceedings of the Supplementary Proceedings of the 9th International Conference on Discrete Optimization and Operations Research and Scientific School (DOOR 2016), Vladivostok, Russia, September 19, 2016

2014
Weighted ensemble of algorithms for complex data clustering.
Pattern Recognit. Lett., 2014

2011
A Latent Variable Pairwise Classification Model of a Clustering Ensemble.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

2009
Construction of the Ensemble of Logical Models in Cluster Analysis.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009

2008
Bayesian Model of Recognition on a Finite Set of Events.
Proceedings of the Artificial Intelligence: Theories, 2008

2007
Construction of an Event Tree on the Basis of Expert Knowledge and Time Series.
Proceedings of the Knowledge Processing and Data Analysis - First International Conference, 2007

2003
The influence of prior knowledge on the expected performance of a classifier.
Pattern Recognit. Lett., 2003

2002
An approach to the evaluation of the performance of a discrete classifier.
Pattern Recognit. Lett., 2002


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