161 search results - page 16 / 33 » Methods for convex and general quadratic programming |
126
click to vote
CDC
2009
IEEE
15 years 9 months ago
2009
IEEE
Abstract— In this paper we consider several problems involving control with limited actuation and sampling rates. Event-based control has emerged as an attractive approach for ad...
133
click to vote
ML
2007
ACM
15 years 3 months ago
2007
ACM
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
114
click to vote
JMLR
2006
15 years 4 months ago
2006
We present a simple and scalable algorithm for maximum-margin estimation of structured output models, including an important class of Markov networks and combinatorial models. We ...
157
click to vote
JMLR
2006
15 years 4 months ago
2006
Support vector machines utilizing the 1-norm, typically set up as linear programs (Mangasarian, 2000; Bradley and Mangasarian, 1998), are formulated here as a completely unconstra...
164
click to vote
ECML
2004
Springer
15 years 8 months ago
2004
Springer
The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...