RUS  ENG
Full version
PEOPLE
Vorontsov Konstantin Vyacheslavovich
Professor of Russian Academy of Sciences
Doctor of physico-mathematical sciences (2010)

Speciality: 05.13.17 (Theoretical foundation for informatics)
Birth date: 1.04.1971
Phone: +7 (499) 135 41 63
E-mail:
Website: http://www.machinelearning.ru/wiki/index.php?title=Участник:Vokov
Keywords: machine learning, data mining, applied statistics, computational learning theory, generalization bounds, similarity-based classifiers, multiple classifiers systems, collaborative filtering.
UDC: 519.714, 519.712.63
MSC: 68T10, 93E35

Subject:

Combinatorial theory of empirical predictions and learning algorithms genaralization bounds. Weak probability axiomatic. Similarity-based and ensemble-based classification. Collaborative filterning and clients environment analysis. Support and development of wiki-site http://www.MachineLearning.ru.


Main publications:
  1. Rudakov K. V., Vorontsov K. V., “Methods of optimization and monotone correction in the algebraic approach to the recognition problem”, Doklady Mathematics, 60:1 (1999), 139  zmath
  2. Vorontsov K. V., “Combinatorial substantiation of learning algorithms”, Comp. Maths Math. Phys., 44:11 (2004), 1997–2009  mathscinet  zmath; http://www.ccas.ru/frc/papers/voron04jvm-eng.pdf
  3. Vorontsov K. V., “Combinatorial bounds for learning performance”, Doklady Mathematics, 69:1 (2004), 145–148  zmath; http://www.ccas.ru/frc/papers/voron04qualdan-eng.pdf
  4. Kanevskiy D. Y., Vorontsov K. V., “Cooperative coevolutionary ensemble learning”, Multiple Classifier Systems, 7th International Workshop (Prague, Czech Republic, May 23–25, 2007), Lecture Notes in Computer Science, Springer-Verlag, 2007, 469–478  crossref; http://www.ccas.ru/frc/papers/kanevskiy07ccel.pdf
  5. Vorontsov K. V., “Combinatorial probability and the tightness of generalization bounds”, Pattern Recognition and Image Analysis, 18:2 (2008), 243–259  crossref; http://www.springerlink.com/content/78537p01838123u7

Publications in Math-Net.Ru

Presentations in Math-Net.Ru

Personal pages:

Organisations:


© Steklov Math. Inst. of RAS, 2024