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Volodya Vovk

Researcher at Royal Holloway, University of London

Publications -  39
Citations -  3488

Volodya Vovk is an academic researcher from Royal Holloway, University of London. The author has contributed to research in topics: Transduction (machine learning) & Support vector machine. The author has an hindex of 24, co-authored 39 publications receiving 3191 citations. Previous affiliations of Volodya Vovk include University of London.

Papers
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Proceedings Article

Ridge Regression Learning Algorithm in Dual Variables

TL;DR: A regression estimation algorithm which is a combination of the dual version of Ridge Regression is applied to the ANOVA enhancement of the infinitenode splines and the use of kernel functions, as used in Support Vector methods is introduced.
Proceedings Article

Learning by transduction

TL;DR: In this paper, a method for predicting a classification of an object given classifications of the objects in the training set, assuming that the pairs object/classification are generated by an i.i.d. process from a continuous probability distribution.
Journal ArticleDOI

Competitive On-line Statistics

TL;DR: In this paper, a new approach to statistical modelling, which combines mathematical techniques of Bayesian statistics with the philosophy of the theory of competitive on-line algorithms has arisen over the last decade in computer science (to a large degree, under the influence of Dawid's prequential statistics).
Book ChapterDOI

Inductive Confidence Machines for Regression

TL;DR: The inductive approach described in this paper may be the only option available when dealing with large data sets and is much faster than the existing transductive techniques.
Proceedings Article

Machine-Learning Applications of Algorithmic Randomness

TL;DR: Machine-LearningApplicationsofAlgorithmicRandomnessVolodyaovk,AlexGammerman,CraigSaundersComputerLearningResearchCentreandDepartment ofScienceRoyalHollowa,UniversitofLondon,Egham,SurreyTW200EX,Englandfvovk ,alex,craigg@dcs.rhbnc.ac.ukAbstractMostmachinelearningalgorithmsshare the followingdrawback: they onlyoutputbarepredictions but not