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Topic: Alexey Chervonenkis

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	CLRC: Computer Learning Research Centre
		Dr Chervonenkis has made a long and outstanding contribution to the area of pattern recognition and computational learning.
		Dr Chervonenkis has been working in the Research Institute of Control Problems at the Russian Academy of Science in Moscow for many years and has won many prestigious prizes.
		About some properties of function sets, for which the condition of uniform convergence of means to expectations are not valid 2006.
	www.clrc.rhul.ac.uk /people/chervonenkis (203 words)

	VC dimension - Encyclopedia Glossary Meaning Explanation VC dimension (Site not responding. Last check: 2007-11-04)
		The VC dimension (for Vapnik Chervonenkis dimension) is a measure of the capacity of a statistical classification algorithm.
		It is one of the core concepts in Vapnik Chervonenkis theory.
		It was originally defined by Vladimir Vapnik and Alexey Chervonenkis.
	www.encyclopedia-glossary.com /en/VC-dimension.html (425 words)

	Probability Abstract Service
		Dmitry Panchenko The inequality of Vapnik and Chervonenkis controls the expectation of the function by its sample average uniformly over a VC-major class of functions taking into account the size of the expectation.
		Using Talagrand's kernel method we prove a similar result for the classes of functions for which Dudley's uniform entropy integral or bracketing entropy integral is finite.
		Alexey Koloydenko A finite $G\le GL(m,\mathbb{R})$ fixes $\Omega \subset \mathbb{R}^m$ and induces its action on $\mathcal{P}$, the set of probability distributions on $\Omega$.
	www.math.u-psud.fr /~paserv/Letters/letter_81.html (13796 words)

	Statistical learning theory - Wikipedia, the free encyclopedia
		It may refer to computational learning theory, which is a sub-field of statistics that studies how algorithms can learn from data.
		It may refer to Vapnik Chervonenkis theory, which is a specific approach to computational learning theory, proposed by Vladimir Vapnik and Alexey Chervonenkis.
		This is a disambiguation page, a list of pages that otherwise might share the same title.
	en.wikipedia.org /wiki/Statistical_learning_theory (119 words)

	DBLP: Victor V. Solovyev
		Chervonenkis, Alex J. Gammerman, Ilham A. Shahmuradov, Victor V. Solovyev: Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Alignment Kernel.
		Chervonenkis, Alex J. Gammerman, Ilham A. Shahmuradov, Victor V. Solovyev: Sequence alignment kernel for recognition of promoter regions.
		Ponomarenko, Alexey V. Kochetov, Nikolay L. Podkolodny, Denis G. Vorobiev, Sergey V. Lavryushev, Dmitry A. Grigorovich, Y.
	sunsite.informatik.rwth-aachen.de /dblp/db/indices/a-tree/s/Solovyev:Victor_V=.html (433 words)

	Hedging Predictions in Machine Learning : Computer Journal Lectures : Publishing : BCS
		Discussants included Alexey Chervonenkis (Moscow), Vladimir Vapnik (Columbia), Xiaohui Liu (Brunel) and Sally Mcclean (Ulster).
		A new machine learning technique, based on transductive (as opposed to inductive) inference, makes it possible to complement many prediction algorithms with quantitative measures of their accuracy and reliability.
		Alexey Chervonenkis (Russian Academy of Sciences, Moscow) spoke of the general context.
	www.bcs.org /server.php?show=conWebDoc.3655 (821 words)

	Alexey - village /// vllg.com
		Alexey Brodovitch is remembered today as the art director of Harper’s Bazaar for nearly a quarter of a
		Alexey Nikishin - the premier russian erotic photo-art and fine art nudes photographer.
		Alexey Pajitnov (Алексей Леонидович Пажитнов, regularly Aleksei Leonidovich Pazhitnov, born 1956) is a computer engineer from Russia now living in the
	listsoft.info /?q=alexey (423 words)

	A model approach to society (May 2003) - Physics World - PhysicsWeb
		Some sociologists view scientific knowledge as the shared views of a group of individuals - a "social construct" - rather than as some fundamental knowledge about nature.
		My views on the "absolute truth" of theories and our ability to make accurate predictions are best illustrated by some work in probability theory that was carried out by Vladimir Vapnik and Alexey Chervonenkis in 1968.
		They showed that if we have access to only a finite amount of data, our ability to predict and generalize from the data is limited.
	physicsweb.org /article/world/16/5/2 (1493 words)

	[COLT] vacancies for research assistants
		Chervonenkis, BSc, PhD Moscow Mathematical statistics, pattern recognition, learning theory, ore = deposit modelling.
		The current research topics are Universal = Prediction, Support Vector method, Probabilistic Reasoning, the theory = of Kolmogorov and predictive complexity, on-line prediction with expert = advice, transductive inference and computational finance.
		=20 Members of the Centre are Alex Gammerman (Director), Alexey = Chervonenkis, Craig Saunders, Vladimir Vapnik, Volodya Vovk and Chris = Watkins, with their Research Assistants and PhD students, and Visiting = Professors are Jorma Rissanen, Chris Wallace, Glenn Shafer, Leonid = Levin, Ray Solomonoff and Vladimir V'yugin.
	lists.cs.uiuc.edu /pipermail/colt/2002-March/000689.html (3008 words)

	Magnetooptic system for article defects and flaws detection - Patent 5754044
		The defect pattern of an article can be either visually viewed or the defect pattern can be recorded on a tape or magnetic rubber sheet placed between the bottom surface of the MO device and the top surface of the article being analyzed.
		Solodov, Alexey L. Chervonenkis, Andrey Ya Gribkov, Vladimir L. Kiryuhin, Nikolay N. Application Number:
		Images are available in PDF form when logged in.
	www.freepatentsonline.com /5754044.html (2162 words)

	gene recognition papers (2003)
		Leo Gordon, Alexey Ya Chervonenkis, Alex J Gammerman, Ilham A Shahmuradov, Victor V Solovyev (2003), "Sequence alignment kernel for recognition of promoter regions", Bioinformatics, 19:1964-1971.
		R Guigo, ET Dermitzakis, P Agarwal, CP Ponting, G Parra, A Reymond, JF Abril, E Keibler, R Lyle, C Ucla, SE Antonarakis, MR Brent (2003), "Comparison of mouse and human genomes followed by experimental verification yields an estimated 1,019 additional genes." Proceedings of National Academy of Sciences, 100(3):1140-1145.
		Victor G Levitsky, Alexey V Katokhin (2003), "Recognition of eukaryotic promoters using a genetic algorithm based on iterative discriminant analysis", In Silico Biology, 3:0008.
	www.nslij-genetics.org /gene/2003.html (4090 words)

	DBLP: Leo Gordon (Site not responding. Last check: 2007-11-04)
		Coauthor Index - Ask others: ACM DL - ACM Guide - CiteSeer - CSB - Google
		Chervonenkis, Alex J. Gammerman, Ilham A. Shahmuradov, Victor V. Solovyev: Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Alignment Kernel.
		Chervonenkis, Alex J. Gammerman, Ilham A. Shahmuradov, Victor V. Solovyev: Sequence alignment kernel for recognition of promoter regions.
	www.acm.org /turing/sigmod/dblp/db/indices/a-tree/g/Gordon:Leo.html (72 words)

	POSTGRADUATE STUDIES IN COMPUTER SCIENCE (Site not responding. Last check: 2007-11-04)
		One-day colloquia, focussing on each of the main research areas in the Department, have been very successful, attracting key personnel in these fields from the UK and Europe, and with researchers of international renown as invited speakers.
		It includes Alexey Chervonenkis, Yuri Kalnishkan, Zhiyuan Luo, Vladimir Vapnik, Volodya Vovk and Chris Watkins, as well as Visiting Professors Leonid Levin, Jorma Rissanen, Glenn Shafer and Ray Solomonoff.
		The research focuses on developing efficient learning algorithms, both in the traditional setting where the data are generated by a stationary stochastic mechanism and in a new non-probabilistic setting where nothing is assumed about the data-generating mechanism.
	www.cs.rhul.ac.uk /msc/brochure/pgbroch.html (7029 words)

	Bioinformatics, Volume 19
		Yihui Luan, Hongzhe Li: Clustering of time-course gene expression data using a mixed-effects model with B-splines.
		Lee Makowski, Alexei Soares: Estimating the diversity of peptide populations from limited sequence data.
		Dirk Metzler: Statistical alignment based on fragment insertion and deletion models.
	www.informatik.uni-trier.de /~ley/db/journals/bioinformatics/bioinformatics19.html (5147 words)

	All Camera-ready Abstracts
		Reconstruction of conditional distribution field based on empirical data
		Chervonenkis Alexey - Royal Holloway University of London (London),
		In the paper the problem of conditional distribution estimation at a current point on tha basis of measured values of a random field at a set of sampling points is considered.
	www.cec.uchile.cl /~his02/abstracts_of_HIS02.html (11948 words)

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