1443 search results - page 111 / 289 » Learning Generative Models via Discriminative Approaches |
123
Voted
ICTAI
2010
IEEE
14 years 10 months ago
2010
IEEE
Ensemble pruning is concerned with the reduction of the size of an ensemble prior to its combination. Its purpose is to reduce the space and time complexity of the ensemble and/or ...
115
Voted
ICCV
2011
IEEE
14 years 18 days ago
2011
IEEE
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...
96
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
110
Voted
ICASSP
2010
IEEE
15 years 23 days ago
2010
IEEE
We address the problem of Bayesian estimation where the statistical relation between the signal and measurements is only partially known. We propose modeling partial Baysian knowl...
112
Voted
BMCBI
2010
15 years 21 days ago
2010
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...