Zobrazeno 1 - 10
of 39
pro vyhledávání: '"A. Ya. Chervonenkis"'
Autor:
A. Ya. Chervonenkis, A. N. Sorokina
Publikováno v:
Automation and Remote Control. 76:1315-1325
This paper describes a modified version of an algorithm suggested earlier by the authors for optimizing of ads allocation in sponsored search on the main page of search results in response to user search queries to a web search engine. It is demonstr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b300be5a3108de9cd38326eb177eb7d
https://doi.org/10.1134/s0005117915070164
https://doi.org/10.1134/s0005117915070164
Autor:
Aleksei Ya Chervonenkis
Publikováno v:
Izvestiya: Mathematics. 76:1271-1285
We show that, if a system of events does not satisfy the conditions for the uniform convergence of the relative frequencies to probabilities, that is, if the limit entropy per symbol is greater than zero, then there is necessarily an event having the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20c5498bebb46de2134a470b50051973
https://doi.org/10.1070/im2012v076n06abeh002624
https://doi.org/10.1070/im2012v076n06abeh002624
Autor:
Stephane Camuzeaux, Rainer Cramer, John Sinclair, Dmitry Devetyarov, Ilia Nouretdinov, Brian Burford, Volodya Vovk, John F. Timms, Ali Tiss, Ian Jacobs, Celia Smith, Mike Waterfield, Alexander Gammerman, Alexey Ya. Chervonenkis, Aleksandra Gentry-Maharaj, Zhiyuan Luo, Rachel Hallett, Usha Menon
Publikováno v:
Progress in Artificial Intelligence. 1:245-257
The work describes an application of a recently developed machine-learning technique called Mondrian pre- dictors to risk assessment of ovarian and breast cancers. The analysis is based on mass spectrometry profiling of human serum samples that were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72fe3987f86cb2aa48dce34d4802ed73
https://doi.org/10.1007/s13748-012-0021-y
https://doi.org/10.1007/s13748-012-0021-y
Publikováno v:
Automation and Remote Control. 72:1061-1067
We show the results of applying the kernel ridge regression method to the problem of fast computation of aerodynamical characteristics of an airplane. We compare our results with the results found with surrogate models constructed with artificial neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c71b740108180f19b08c55651b694389
https://doi.org/10.1134/s0005117911050134
https://doi.org/10.1134/s0005117911050134
Autor:
Musarat Kabir, Paul Tempst, Usha Menon, Rainer Cramer, Stephane Camuzeaux, Alexander Gammerman, Volodya Vovk, John F. Timms, Zhiyuan Luo, Ilia Nouretdinov, Alexey Ya. Chervonenkis, Brian Burford, Ian Jacobs, Mike Waterfield, Josep Villanueva
Publikováno v:
The Computer Journal. 52:326-333
Ovarian cancer is characterized by vague, non-specific symptoms, advanced stage at diagnosis and poor overall survival. A nested case control study was undertaken on stored serial serum samples from women who developed ovarian cancer and healthy cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b8a779063bfce6747f104065f531e60
https://doi.org/10.1093/comjnl/bxn021
https://doi.org/10.1093/comjnl/bxn021
Autor:
Xiao Liu, David Bell, Alexey Ya. Chervonenkis, Glenn Shafer, Sally McClean, Alan Hutchinson, David L. Dowe, Philip M. Long, Zhiyuan Luo, Tony Bellotti, Drago Indjic, Harris Papadopoulos, G.I. Hawe, Vladimir Vapnik
Publikováno v:
The Computer Journal. 50:164-172
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe74ea2700c691d597f0e0c089b61b08
https://doi.org/10.1093/comjnl/bxl066
https://doi.org/10.1093/comjnl/bxl066
Autor:
A. Ya. Chervonenkis, Vladimir Vapnik
Publikováno v:
Measures of Complexity ISBN: 9783319218519
This chapter reproduces the English translation by B. Seckler of the paper by Vapnik and Chervonenkis in which they gave proofs for the innovative results they had obtained in a draft form in July 1966 and announced in 1968 in their note in Soviet Ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95fcd1c5a732cc21a5d2f3cf34a68214
https://doi.org/10.1007/978-3-319-21852-6_3
https://doi.org/10.1007/978-3-319-21852-6_3
Autor:
Alexander Gammerman, Ilham A. Shahmuradov, Leo Gordon, Alexey Ya. Chervonenkis, Victor V. Solovyev
Publikováno v:
Bioinformatics. 19:1964-1971
In this paper we propose a new method for recognition of prokaryotic promoter regions with startpoints of transcription. The method is based on Sequence Alignment Kernel, a function reflecting the quantitative measure of match between two sequences.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65259926eb8d70c85754869c345ad75b
https://doi.org/10.1093/bioinformatics/btg265
https://doi.org/10.1093/bioinformatics/btg265
Publikováno v:
Empirical Inference ISBN: 9783642411359
Empirical Inference
Empirical Inference
This chapter is a translation of Vapnik and Chervonenkis’s pathbreaking note В. Н. Вапник, А. Я. Червоненкис, О равномерной сходимости частот появления событий к их вероятн
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51727b52ab8c3ce29c0d3f82050ecd76
https://doi.org/10.1007/978-3-642-41136-6_2
https://doi.org/10.1007/978-3-642-41136-6_2
Autor:
Alexey Ya. Chervonenkis
Publikováno v:
Empirical Inference ISBN: 9783642411359
Empirical Inference
Empirical Inference
Many of the ideas now being developed in the framework of Support Vector Machines were first proposed by V. N. Vapnik and A. Ya. Chervonenkis (Institute of Control Sciences of the Russian Academy of Sciences, Moscow, Russia) in the framework of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef5ec2b81775c2ed11420c4095005f82
https://doi.org/10.1007/978-3-642-41136-6_3
https://doi.org/10.1007/978-3-642-41136-6_3