38 search results - page 5 / 8 » Mathematical formulations of Hebbian learning |
CORR
2010
Springer
13 years 7 months ago
2010
Springer
In Bayesian machine learning, conjugate priors are popular, mostly due to mathematical convenience. In this paper, we show that there are deeper reasons for choosing a conjugate pr...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper, an optimization based learning method is proposed for image retrieval from graph model point of view. Firstly, image retrieval is formulated as a regularized optimi...
IJAR
2011
12 years 11 months ago
2011
The basic idea of an algebraic approach to learning Bayesian network (BN) structures is to represent every BN structure by a certain uniquely determined vector, called the standar...
KDD
2005
ACM
14 years 1 months ago
2005
ACM
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
ICASSP
2007
IEEE
14 years 2 months ago
2007
IEEE
This paper considers the problem of learning cellular signaling networks from incomplete measurements of pathway activity. Cells respond to environmental changes (e.g., starvation...