160 search results - page 17 / 32 » Maximum a posteriori based regularization parameter selectio... |
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
JACM
2006
13 years 8 months ago
2006
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
FOCI
2007
IEEE
14 years 3 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...
CVPR
2008
IEEE
13 years 8 months ago
2008
IEEE
We present a novel approach to compute the similarity between two unordered variable-sized vector sets. To solve this problem, several authors have proposed to model each vector s...
TASLP
2002
13 years 8 months ago
2002
This paper presents a framework for maximum a posteriori (MAP) speaker adaptation of state duration distributions in hidden Markov models (HMM). Four key issues of MAP estimation, ...