12 search results - page 1 / 3 » Large margin non-linear embedding |
EH
2003
IEEE
15 years 2 months ago
2003
IEEE
This paper describes a multi-objective Evolutionary Algorithm (EA) system for the synthesis of efficient non-linear VLSI circuit modules. The EA takes the specification for a no...
92
Voted
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
It is common in classification methods to first place data in a vector space and then learn decision boundaries. We propose reversing that process: for fixed decision boundaries, ...
NIPS
2008
14 years 11 months ago
2008
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
113
Voted
NIPS
2001
14 years 11 months ago
2001
Guided by an initial idea of building a complex (non linear) decision surface with maximal local margin in input space, we give a possible geometrical intuition as to why K-Neares...
COLT
2001
Springer
15 years 2 months ago
2001
Springer
The notion of embedding a class of dichotomies in a class of linear half spaces is central to the support vector machines paradigm. We examine the question of determining the mini...