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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 | humanoids06.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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1 english only
2 epfl
3 lasa
4 introduction
5 resources
6 augmented svm
7 ashwini shukla
8 and aude billard
9 where
10 applications
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english only,epfl,lasa,introduction,resources,augmented svm,ashwini shukla,and aude billard,where,applications,learning energy functions,surface reconstruction,acknowledgments,dr basilio noris,last update 4 feb 13
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Augmented-SVM | humanoids06.epfl.ch Reviews

https://humanoids06.epfl.ch

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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Humanoid Robotics Web Site *. IEEE-RAS International Conference on Humanoids 2007. IEEE-RAS International Conference on Humanoids 2006. IEEE-RAS International Conference on Humanoids 2005. IEEE-RAS International Conference on Humanoids 2004. IEEE-RAS International Conference on Humanoids 2003. IEEE-RAS International Conference on Humanoids 2001. IEEE-RAS International Conference on Humanoids 2000.

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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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