Институт проблем информатики Российской Академии наук
Институт проблем информатики Российской Академии наук
Российская Академия наук

Институт проблем информатики Российской Академии наук



«INFORMATICS AND APPLICATIONS»
Scientific journal
Volume 6, Issue 4, 2012

Abstract | Bibliography | About  Authors

Content

ANALYTICAL MODELING INVARIANT MEASURE DISTRIBUTIONS IN STOCHASTIC SYSTEMS WITH AUTOCORRELATED NOISES.

  • I.N. Sinitsyn   IPI RAN, sinitsin@dol.ru

ON THE ACCURACY OF SOME MATHEMATICAL MODELS OF CATASTROPHICALLY ACCUMULATED EFFECTS IN PREDICTION OF RISKS OF EXTREMAL EVENTS.

  • I.A. Duchitskii1   Faculty of ComputationalMathematics and Cybernetics, M.V. Lomonosov Moscow State University, duchik@gmail.com
  • V.Yu. Korolev   M.V. Lomonosov Moscow State University; IPI RAN, vkorolev@cs.msu.su
  • I.A. Sokolov   IPI RAN, isokolov@ipiran.ru

ABOUT ADAPTIVE STRATEGIES AND THEIR EXISTENCE CONDITIONS.

  • M.G. Konovalov   IPI RAN, mkonovalov@ipiran.ru

BOUNDS IN NULL ERGODIC CASE FOR SOME QUEUEING SYSTEMS.

  • A. I. Zeifman   Vologda State Pedagogical University; IPI RAN; VSCC CEMI RAS, a zeifman@mail.ru
  • A. V. Korotysheva   Vologda State Pedagogical University, a korotysheva@mail.ru
  • Ya. Satin   Vologda State Pedagogical University, yacovi@mail.ru
  • S. Ya. Shorgin   IPI RAN, SShorgin@ipiran.ru

GENERALIZED LAPLACE DISTRIBUTION AS A LIMIT LAW FOR RANDOM SUMS AND STATISTICS CONSTRUCTED FROM SAMPLES WITH RANDOM SIZES.

  • V.Yu. Korolev  M. V. Lomonosov Moscow State University; IPI RAN, vkorolev@cs.msu.su
  • V.E. Bening   Department of Mathematical Statistics, Faculty of Computational Mathematics and Cybernetics, M. V. Lomonosov Moscow State University; IPI RAN, bening@cs.msu.su
  • L.M. Zaks   Department of Modeling and Mathematical Statistics, Alpha-Bank, lily.zaks@gmail.com
  • A. I. Zeifman  Vologda State Pedagogical University; IPI RAN; VSCC CEMI RAS, a_zeifman@mail.ru

LOWER BOUNDS FOR THE STABILITY OF NORMAL MIXTURE MODELS WITH RESPECT TO PERTURBATIONS OF MIXING DISTRIBUTION.

  • A. Nazarov   Department ofMathematical Statistics, Faculty ofComputationalMathematics andCybernetics,M.V. Lomonosov Moscow State University nazarov.vmik@gmail.com

PREPROCESSING OF TEXT RECOGNITION UNDER THE POOR QUALITY IMAGE.

  • M. P. Krivenko   IPI RAN, mkrivenko@ipiran.ru

RANDOM GRAPHS MODEL FOR DESCRIPTION OF INTERACTIONS IN THE NETWORK.

  • A. Grusho   IPI RAN; Department ofMathematical Statistics, Faculty of Computational Mathematics and Cybernetics, M.V. Lomonosov Moscow State University, grusho@yandex.ru
  • E. Timonina   IPI RAN, eltimon@yandex.ru

ON THE OPTIMAL CORRECT RECODING OF INTEGER DATA IN RECOGNITION.

  • E. V. Djukova   Institution of Russian Academy of Sciences Dorodnicyn Computing Centre of RAS, edjukova@mail.ru
  • A.V. Sizov   Moscow State University, box.sizov@gmail.com
  • R.M. Sotnezov   Institution of the Russian Academy of Sciences Dorodnicyn Computing Center of RAS, rom.sot@gmail.com

ESTIMATION OF LINEAR MODEL HYPERPARAMETERS FOR NOISE OR CORRELATED FEATURE SELECTION PROBLEM.

  • A.A. Tokmakova   Moscow Institute of Physics and Technology, aleksandra-tok@yandex.ru
  • V. V. Strijov  Computing Center RAS, strijov@ccas.ru

HOLOGRAPHIC CODING BY WALSH-HADAMARD TRANSFORMATION OF RANDOMIZED AND PERMUTED DATA.

  • S. Dolev  Department of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel, dolev@cs.bgu.ac.il
  • S. Frenkel  IPI RAN; Moscow Institute of Radio, Electronics, and Automation (MIREA), fsergei@mail.ru
  • A. Cohen   Department of Communication Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel, coasaf@cse.bgu.ac.il

MATHEMATICAL FOUNDATION, APPLICATION, AND COMPARISON OF GENERAL DATA ASSIMILATION METHOD BASED ON DIFFUSION APPROXIMATION WITH OTHER DATA ASSIMILATION SCHEMES.

  • K. P. Belyaev  Shirshov Institute of Oceanology, Russian Academy of Science,Moscow, Russia, kb@sail.msk.ru
  • C.A.S. Tanajura   Federal University of Bahia, Salvador, Brazil, cast@ufba.br
  • N. P. Tuchkova   Institution of the Russian Academy of Sciences Dorodnicyn Computing Center of RAS Moscow, Russia, tuchkova@ccas.ru

COMPLETE CONVERGENCE FOR ARRAYS OF NEGATIVELY DEPENDENT RANDOM VARIABLES.

  • S.H. Sung  Department of Applied Mathematics, Pai Chai University, Taejon, South Korea, sungsh@pcu.ac.kr
  • K. Budsaba   Center of Excellence in Mathematics, CHE, Bangkok, Thailand; Department of Mathematics and Statistics, Thammasat University Rangsit Center, Pathumthani, Thailand, kamon@mathstat.sci.tu.ac.th
  • A. Volodin   School of Mathematics and Statistics, University of Western Australia, Crawley, Australia; University of Regina, Canada, Andrei.Volodin@uregina.ca