889 search results - page 71 / 178 » Probabilistic Neural Network Models for Sequential Data |
ML
2008
ACM
13 years 8 months ago
2008
ACM
Abstract. Recently, there has been an increasing interest in directed probabilistic logical models and a variety of languages for describing such models has been proposed. Although...
MOBIHOC
2003
ACM
14 years 1 months ago
2003
ACM
Reliable storage of data with concurrent read/write accesses (or query/update) is an ever recurring issue in distributed settings. In mobile ad hoc networks, the problem becomes e...
IPMU
2010
Springer
13 years 6 months ago
2010
Springer
It is well known that among all probabilistic graphical Markov models the class of decomposable models is the most advantageous in the sense that the respective distributions can b...
PRL
2000
13 years 8 months ago
2000
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
ICONIP
1998
13 years 9 months ago
1998
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...