• Vapnik, V. (1998) Statistical Learning Theory. (scirp.org)
  • Estimation of Dependences Based on Empirical Data, Reprint 2006 (Springer), also contains a philosophical essay on Empirical Inference Science, 2006 Alexey Chervonenkis Vapnik, Vladimir N. (2000). (wikipedia.org)
  • It was here that he began the work that ultimately led to his development, in collaboration with Alexey Chervonenkis, of Vapnik-Chervonenkis (VC) theory, which uses statistical and mathematical methods to explain the learning process, establishing the foundations of contemporary machine learning theory. (fi.edu)
  • in studying now about Vapnik-Chervonenkis dimension, and there is one question that I not able to solve. (stackexchange.com)
  • In 2000, Vapnik and neural networks expert, Hava Siegelmann developed Support-Vector Clustering, which enabled the algorithm to categorize inputs without labels - becoming one of the most ubiquitous data clustering applications in use. (wikipedia.org)
  • He is one of the main developers of the Vapnik-Chervonenkis theory of statistical learning and the co-inventor of the support-vector machine method and support-vector clustering algorithms. (wikipedia.org)
  • Vladimir Vapnik was born to a Jewish family in the Soviet Union. (wikipedia.org)
  • At the end of 1990, Vladimir Vapnik moved to the USA and joined the Adaptive Systems Research Department at AT&T Bell Labs in Holmdel, New Jersey. (wikipedia.org)
  • Vladimir Vapnik was inducted into the U.S. National Academy of Engineering in 2006. (wikipedia.org)
  • In 2019, Vladimir Vapnik received BBVA Foundation Frontiers of Knowledge Award. (wikipedia.org)
  • Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik. (wikipedia.org)
  • Perhaps the most influential and innovative researcher in machine learning is Vladimir Vapnik, whose career and accomplishments practically define the discipline's current state of the art. (fi.edu)
  • While the question of whether computers will ever be able to think as human beings do may never be truly answered, there is no question that Vladimir Vapnik has invented ways to make them "think" better for all the myriad ways in which we humans use them every day. (fi.edu)
  • Vladimir Vapnik meets the video games sub-culture: ALL YOUR BAYES ARE BELONG TO US. (lecun.com)
  • When Vladimir Vapnik teaches his computers to recognize handwriting, he does something similar. (nautil.us)
  • Vapnik left AT&T in 2002 and joined NEC Laboratories in Princeton, New Jersey, where he worked in the Machine Learning group. (wikipedia.org)
  • At Bell, Vapnik continued to develop and build upon the ideas and implications of VC theory, finally inventing the concept of the support vector machine (SVM), a model and algorithm that allows a computer to identify and predict patterns and classify input into particular categories. (fi.edu)
  • Currently Vapnik is a professor of computer science and statistics at Royal Holloway, University of London, and holds a professorship in computer science at Columbia University in New York. (fi.edu)
  • That is what Vapnik was after when he asked Natalia Pavlovich, a professor of Russian poetry, to write poems describing the numbers 5 and 8, for consumption by his learning algorithms. (nautil.us)
  • We study the Vapnik-Chervonenkis (VC) density of definable families in certain stable first-order theories. (projecteuclid.org)
  • Vapnik is one of a growing body of artificial intelligence (AI) researchers discovering something that teachers have long known-or at least, believed-to be true: There is a special, valuable communication that occurs between teacher and student, which goes beyond what can be found in any textbook or raw data stream. (nautil.us)
  • While at AT&T, Vapnik and his colleagues did work on the support-vector machine, which he also worked on much earlier before moving to the USA. (wikipedia.org)
  • The method is inspired on the Support Vector Machine by V.Vapnik. (tudelft.nl)
  • Motivated by such assumption, we proposed a classification algorithm, Support Cluster Machine (SCM), within the learning framework introduced by Vapnik. (videolectures.net)
  • VC classes (Vapnik-Chervonenki's classes) of functions. (lu.se)
  • Vladimir Vapnik was born to a Jewish family in the Soviet Union. (wikipedia.org)
  • At the end of 1990, Vladimir Vapnik moved to the USA and joined the Adaptive Systems Research Department at AT&T Bell Labs in Holmdel, New Jersey. (wikipedia.org)
  • Vladimir Vapnik was inducted into the U.S. National Academy of Engineering in 2006. (wikipedia.org)
  • In 2019, Vladimir Vapnik received BBVA Foundation Frontiers of Knowledge Award. (wikipedia.org)
  • Vladimir Vapnik is the co-inventor of support vector machines, support vector clustering, VC theory, and many foundational ideas in statistical learning. (happyscribe.com)
  • Vapnik, V. (1995) The Nature of Statistical Learning Theory. (scirp.org)
  • Estimation of Dependences Based on Empirical Data, Reprint 2006 (Springer), also contains a philosophical essay on Empirical Inference Science, 2006 Alexey Chervonenkis Vapnik, Vladimir N. (2000). (wikipedia.org)
  • In 2000, Vapnik and neural networks expert, Hava Siegelmann developed Support-Vector Clustering, which enabled the algorithm to categorize inputs without labels - becoming one of the most ubiquitous data clustering applications in use. (wikipedia.org)
  • VC classes (Vapnik-Chervonenki's classes) of functions. (lu.se)