115 search results - page 2 / 23 » Bayesian Learning of Loglinear Models for Neural Connectivit... |
EMNLP
2006
13 years 6 months ago
2006
In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...
APIN
1999
13 years 4 months ago
1999
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
ICSNC
2007
IEEE
13 years 11 months ago
2007
IEEE
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
ICALT
2007
IEEE
13 years 11 months ago
2007
IEEE
Deficiencies in the ability to map letters to sounds are currently considered to be the most likely early signs of dyslexia [4]. This has motivated the use of Literate, a compute...
JCISD
2000
13 years 4 months ago
2000