889 search results - page 20 / 178 » Probabilistic Neural Network Models for Sequential Data |
ICDE
2006
IEEE
14 years 9 months ago
2006
IEEE
Wireless sensor networks are proving to be useful in a variety of settings. A core challenge in these networks is to minimize energy consumption. Prior database research has propo...
BMCBI
2010
13 years 8 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
This article presents a method aiming at quantifying the visual similarity between an image and a class model. This kind of problem is recurrent in many applications such as objec...
JDCTA
2010
13 years 3 months ago
2010
Neural decoding is an important task for understanding how the biological nervous system performs computation and communication. This paper introduces a novel continuous neural de...
IDA
2003
Springer
14 years 1 months ago
2003
Springer
This paper presents an alternative to distance-based neural networks. A distance measure is the underlying property on which many neural models rely, for example self-organizing ma...