Sergei V. Pereverzyev
Artificial Intelligence · 2007
A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 7 citations into it
- Statistical Learning Theory — 7 citations into it; #365 of 1,038 by trust here, #635 by citations
- Mathematical Physics — 6 citations into it; #1,485 of 8,562 by trust here, #2,478 by citations
- Statistics and Probability — 6 citations into it
Whom Sergei V. Pereverzyev trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ernesto De Vito
- Vladimir Naumovich Vapnik
- Laurent Schwartz
- Steve Smale
- László Györfi
- Felipe Cucker
- Jay A. Farrell
- Peter Mathé
- Lorenzo Rosasco
- Luc Devroye
Who trusts Sergei V. Pereverzyev overall
- Lorenzo Rosasco
- Alessandro Rudi
- Andrea Caponnetto
- Francesco Orabona
- Luca Baldassarre
- Ernesto De Vito
- Krikamol Muandet
- Kenji Fukumizu
- Bharath K. Sriperumbudur
- Lee H. Dicker
Papers from Sergei V. Pereverzyev's perspective
Ordered by how strongly the researchers Sergei V. Pereverzyev trusts endorse each paper. Same corpus, a different order for every researcher.
- A Probabilistic Theory of Pattern Recognition
- Regularization Networks and Support Vector Machines
- Regularization of Inverse Problems
- Theory of Reproducing Kernels.
- A Distribution-Free Theory of Nonparametric Regression
- On the mathematical foundations of learning
- Optimal aggregation of classifiers in statistical learning
- Statistical learning theory
- Learning from Examples as an Inverse Problem
- Spectral Methods for Regularization in Learning Theory
Their papers
- On regularization algorithms in learning theory (2007) — 344 citations