|
gptkbp:instance_of
|
gptkb:Computer_Scientist
|
|
gptkbp:academic_advisor
|
gptkb:Alexey_Chervonenkis
|
|
gptkbp:affiliation
|
gptkb:Columbia_University
gptkb:AT&_T_Labs
|
|
gptkbp:author
|
gptkb:Alexey_Chervonenkis
gptkb:Oleg_S._Smirnov
gptkb:Vladimir_V._Vovk
gptkb:Yuri_A._Sokolov
gptkb:Vladimir_V._Fedorov
|
|
gptkbp:awards
|
gptkb:NIPS_Test_of_Time_Award
gptkb:Neur_IPS_Outstanding_Paper_Award
gptkb:IEEE_Fellow
ACM Fellow
|
|
gptkbp:birth_date
|
1936-09-06
|
|
gptkbp:birth_place
|
Gorky, Soviet Union
|
|
gptkbp:field
|
gptkb:machine_learning
statistics
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Vladimir Vapnik
|
|
gptkbp:influenced
|
gptkb:Artificial_Intelligence
theoretical computer science
data science
pattern recognition
machine learning community
|
|
gptkbp:influenced_by
|
gptkb:Kolmogorov
gptkb:Vladimir_Arnold
|
|
gptkbp:known_for
|
support vector machines
statistical learning theory
|
|
gptkbp:nationality
|
gptkb:Russian
|
|
gptkbp:notable_students
|
gptkb:Nicolas_Le_Roux
gptkb:Vladimir_V._Vovk
gptkb:Léon_Bottou
gptkb:Shai_Shalev-Shwartz
Aude Geneviève
|
|
gptkbp:research_focus
|
learning theory
statistical learning
theory of neural networks
computational learning theory
algorithmic learning theory
theory of optimization
theory of support vector machines
generalization theory
theory of convex analysis
theory of learning algorithms
theory of statistical learning
|
|
gptkbp:residence
|
gptkb:New_Jersey
gptkb:United_States
|
|
gptkbp:bfsParent
|
gptkb:machine_learning
|
|
gptkbp:bfsLayer
|
3
|