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Augmented-SVM

Is a novel support vector formulation that generalizes the classical Support Vector Machine. This framework can be used to learn a non-linear classifier/regression function by simultaneously taking into account constraints (equality or inequality) on the function value and the gradient. This work was first presented in the following paper :. Volume 25, Pages 1025-1033. [ pdf. From SVM to A-SVM. And regression problems are composed of equality constraints. Is the required function,. For control applicatio...

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Augmented-SVM | asvm.epfl.ch Reviews

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Is a novel support vector formulation that generalizes the classical Support Vector Machine. This framework can be used to learn a non-linear classifier/regression function by simultaneously taking into account constraints (equality or inequality) on the function value and the gradient. This work was first presented in the following paper :. Volume 25, Pages 1025-1033. [ pdf. From SVM to A-SVM. And regression problems are composed of equality constraints. Is the required function,. For control applicatio...

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3 lasa

4 introduction

5 resources

6 augmented svm

7 ashwini shukla

8 and aude billard

9 where

10 applications

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Augmented-SVM | asvm.epfl.ch Reviews

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Is a novel support vector formulation that generalizes the classical Support Vector Machine. This framework can be used to learn a non-linear classifier/regression function by simultaneously taking into account constraints (equality or inequality) on the function value and the gradient. This work was first presented in the following paper :. Volume 25, Pages 1025-1033. [ pdf. From SVM to A-SVM. And regression problems are composed of equality constraints. Is the required function,. For control applicatio...

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Argall, Brenna Dee. De Chambrier, Guillaume. Khansari Zadeh, S. M. Millan, J. d. R. Pais, A. L. Tanwani, A. K. Imitation - Motion studies (Apraxia). Imitation in Animals and Robots. Imitation Learning of Robot Motions. Learning by Imitation - Neural Modelling. Learning by imitation - Robotics. Learning for manipulation control. Robota - Mini-Humanoid Robot. Robota - PocketPC Interface. Skin Technology for Robots. Type (book, journal, conference, etc.). In title, abstract, and keywords. Jump to Year :.

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Augmented-SVM

Is a novel support vector formulation that generalizes the classical Support Vector Machine. This framework can be used to learn a non-linear classifier/regression function by simultaneously taking into account constraints (equality or inequality) on the function value and the gradient. This work was first presented in the following paper :. Volume 25, Pages 1025-1033. [ pdf. From SVM to A-SVM. And regression problems are composed of equality constraints. Is the required function,. For control applicatio...

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