Vapnik
A scholar of statistical learning theory and the proposer of the Support Vector Machine (SVM) and Learning Using Privileged Information (LUPI). He has made foundational contributions to machine learning theory.
Timeline (last 90 days)
The foundational paper for support vector machines is Cortes & Vapnik 1995.
The theoretical foundations of empirical risk minimization can be traced back to the work of Vapnik and Chervonenkis in the 1970s, who proved that under conditions such as finite VC dimension of the hypothesis space, empirical risk minimizers can converge to true risk minimizers at a controllable rate.
The theoretical foundations of Empirical Risk Minimization (ERM) can be traced back to the pioneering work of Vapnik and Chervonenkis in the 1970s.
All Facts (3)
The foundational paper for support vector machines is Cortes & Vapnik 1995.
50%UnverifiedThe theoretical foundations of empirical risk minimization can be traced back to the work of Vapnik and Chervonenkis in the 1970s, who proved that under conditions such as finite VC dimension of the hypothesis space, empirical risk minimizers can converge to true risk minimizers at a controllable rate.
50%UnverifiedThe theoretical foundations of Empirical Risk Minimization (ERM) can be traced back to the pioneering work of Vapnik and Chervonenkis in the 1970s.
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