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http://image.diku.dk/imagecanon/material/cortes_vapnik95.pdf
Support-Vector Networks CORINNA CORTES [email protected] VLADIMIR VAPNIK [email protected] AT&T Bell Labs., Holmdel, NJ 07733, USA Editor: Lorenza Saitta Abstract. The support-vector network is a new learning machine for two-group classification problems. The
https://en.wikipedia.org/wiki/Corinna_Cortes
Corinna Cortes is a Danish computer scientist known for her contributions to machine learning.She is currently the Head of Google Research, New York. Cortes is a recipient of the Paris Kanellakis Theory and Practice Award for her work on theoretical foundations of support vector machines.Alma mater: Niels Bohr Institute, University of Rochester
https://link.springer.com/article/10.1007%2FBF00994018
Sep 01, 1995 · The idea behind the support-vector network was previously implemented for the restricted case where the training data can be separated without errors. We here extend this result to non-separable training data. High generalization ability of support-vector networks utilizing polynomial input transformations is demonstrated.Cited by: 39076
https://www.semanticscholar.org/paper/Support-Vector-Networks-Cortes-Vapnik/52b7bf3ba59b31f362aa07f957f1543a29a4279e
Corinna Cortes, V. Vapnik The support-vector network is a new learning machine for two-group classification problems. The machine conceptually implements the following idea: input vectors are non-linearly mapped to a very high-dimension feature space. In …
https://www.semanticscholar.org/author/V.-Vapnik/145803549
Corinna Cortes, V. Vapnik; Machine Learning; 1995; The support-vector network is a new learning machine for two-group classification problems. The machine conceptually implements the following idea: input vectors are non-linearly mapped to a very ...
https://paperity.org/p/7427560/support-vector-networks
Support-vector networks Support-vector networks. ... CORINNA CORTES VLADIMIR VAPNIK AT T Bell Labs. Holmdel NJ USA Lorenza Saitta The support-vector network is a new learning machine for two-group classification problems. The machine conceptually implements the following idea: input vectors are non-linearly mapped to a very highdimension ...Cited by: 39076
https://research.google/people/author121/
Corinna Cortes is the VP of Google Research, NY, where she is working on a broad range of theoretical and applied large-scale machine learning problems. Prior to Google, Corinna spent more than ten years at AT&T Labs - Research, formerly AT&T Bell Labs, where she held a distinguished research position.
https://dl.acm.org/doi/10.1023/A%3A1022627411411
The support-vector network is a new learning machine for two-group classification problems. The machine conceptually implements the following idea: input vectors are non-linearly mapped to a very high-dimension feature space. In this feature space a linear decision surface is constructed.Author: CortesCorinna, VapnikVladimir
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.9362
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): The support-vector network is a new learning machine for two-group classification problems. The machine conceptually implements the following idea: input vectors are non-linearly mapped to a very high-dimension feature space. In this feature space a linear decision surface is constructed.
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