1062 search results - page 74 / 213 » Sublinear Optimization for Machine Learning |
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
ICML
2005
IEEE
14 years 10 months ago
2005
IEEE
We propose a new kernel function for attributed molecular graphs, which is based on the idea of computing an optimal assignment from the atoms of one molecule to those of another ...
ML
2002
ACM
13 years 8 months ago
2002
ACM
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
ML
2007
ACM
13 years 8 months ago
2007
ACM
We consider multivariate density estimation with identically distributed observations. We study a density estimator which is a convex combination of functions in a dictionary and ...
GECCO
2008
Springer
13 years 10 months ago
2008
Springer
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...