1062 search results - page 70 / 213 » Sublinear Optimization for Machine Learning |
ECML
2005
Springer
14 years 2 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...
PKDD
2009
Springer
14 years 3 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...
ESA
2010
Springer
13 years 10 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...
SYNASC
2006
IEEE
14 years 3 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...
MANSCI
2006
13 years 9 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 ...