1062 search results - page 70 / 213 » Sublinear Optimization for Machine Learning |
114
click to vote
ECML
2005
Springer
15 years 7 months ago
2005
Springer
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
109
click to vote
PKDD
2009
Springer
15 years 8 months ago
2009
Springer
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
105
Voted
ESA
2010
Springer
15 years 3 months ago
2010
Springer
We consider parameterized convex optimization problems over the unit simplex, that depend on one parameter. We provide a simple and efficient scheme for maintaining an -approximat...
135
click to vote
SYNASC
2006
IEEE
15 years 8 months ago
2006
IEEE
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
100
Voted
MANSCI
2006
15 years 2 months ago
2006
This paper presents a new information acquisition problem motivated by business applications where customer data has to be acquired with a specific modeling objective in mind. In ...