24 search results - page 1 / 5 » Deterministic Learning for Maximum-Likelihood Estimation Thr... |
TNN
2008
13 years 5 months ago
2008
In this paper, a general method for the numerical solution of maximum-likelihood estimation (MLE) problems is presented; it adopts the deterministic learning (DL) approach to find ...
ISNN
2009
Springer
14 years 2 days ago
2009
Springer
In this paper, we introduce a new instance-based approach to the label ranking problem. This approach is based on a probability model on rankings which is known as the Mallows mode...
PRL
1998
13 years 5 months ago
1998
A novel connectionist method is proposed to simultaneously use diverse features in an optimal way for pattern classification. Unlike methods of combining multiple classifiers, a m...
FOCI
2007
IEEE
13 years 12 months ago
2007
IEEE
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
IJCNN
2008
IEEE
13 years 12 months ago
2008
IEEE
Abstract— Almost all learning machines used in computational intelligence are not regular but singular statistical models, because they are nonidentifiable and their Fisher info...