Sergey Nikolenko

Sergey Nikolenko

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Research papers
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   Research
CS and crypto
Bioinformatics
Machine learning
Algebraic geometry
Algebra
Bayesian networks
Earth sciences

   Teaching
 2014
ML, KFU
Game Theory, HSE
Mech. Design, HSE
ML, CSClub Kazan
Game theory, HSE
Math. logic, AU
Machine learning, STC
Machine learning, AU
 2013
Discrete math, HSE
Machine learning, STC
Math. logic, AU
Cryptography, AU
 2012
Machine learning, STC
Math. logic, AU
Machine learning II, AU
Machine learning, AU
Machine learning, EMC
 2011
Cryptography, AU
Math. logic, AU
Machine learning, AU
 2010
Math. logic, AU
Machine learning, AU
Cryptography, AU
 2009
Crypto in CS Club
Statistics
Machine learning, AU
Cryptography
 2008
Speech recognition
MD for CS Club
ML for CS Club
Mechanism design
 2007
Machine Learning
Probabilistic learning

  External links
Google Scholar profile
DBLP profile
LiveJournal account
userinfonikolenko (in Russian)

Bayesian networks

Bio excerpt

This I was doing under the supervision of Dr. Alexander L. Tulupyev. Classical Bayesian belief networks do not allow for directed cycles, while these cycles may actually occur. We have been trying to devise a formalism to deal with directed cycles, and it turned out that it was pretty much covered by the so-called algebraic Bayesian networks which Dr. Tulupyev had been developing for over 10 years. I also joined him in this work. We had only one publication in English (at MICAI-2005), although there are plenty of results published in Russian, and a book on Bayesian networks has been published.

The three Russian papers listed below contain a concise exposition of latest (by 2006) results in algebraic bayesian networks; for a larger picture, see the book.

Book

We have published a book entitled «Bayesian Networks: a Probabilistic Logic Approach». It was printed in 2006 by the Nauka publishing house with support of an RFBR grant.

You can buy this book at Ozon.ru.

Publications

  1. A.L. Tulupyev, S.I. Nikolenko. Directed Cycles in Bayesian Belief Networks: Probabilistic Semantics and Consistency Checking Complexity. MICAI-2005 Proceedings, Lecture Notes in Artificial Intelligence vol. 3789, 2005, pp. 214-223. (.pdf, 347kb)
  2. A.L. Tulupyev, A.V. Sirotkin, S.I. Nikolenko. Coordinated estimates of probabilities of statements in intellectual informational systems. Priborostroenie, no. 7, 2006, pp. 20-26 (.pdf, 4136kb, in Russian)
  3. A.L. Tulupyev, S.I. Nikolenko, D.A. Nikitin, A.V. Sirotkin. A posteriori estimates of statement probabilities in intellectual informational systems: deterministic case. Priborostroenie, no. 11, 2006, pp. 35-39.
  4. A.L. Tulupyev, S.I. Nikolenko, A.V. Sirotkin. A posteriori probability estimates with probabilistic evidence in intellectual informational systems with interval probabilities. Priborostroenie, no. 11, 2006, pp. 39-44.
  5. A.L. Tulupyev, S.I. Nikolenko, A.V. Sirotkin. Bayesian Networks: A Probabilistic Logic Approach. St.-Petersburg, Nauka, 2006. (two first pages of the book: .pdf, 815kb, in Russian, ozon.ru)