280 search results - page 37 / 56 » Movement Prediction Using Bayesian Learning for Neural Netwo... |
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
ARTMED
2002
13 years 7 months ago
2002
An artificial neural network ensemble is a learning paradigm where several artificial neural networks are jointly used to solve a problem. In this paper, an automatic pathological...
IPSN
2010
Springer
14 years 2 months ago
2010
Springer
We consider the problem of selecting an optimal set of sensors, as determined, for example, by the predictive accuracy of the resulting sensor network. Given an underlying metric ...
BMCBI
2008
13 years 7 months ago
2008
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
NCA
2008
IEEE
13 years 7 months ago
2008
IEEE
A common statistical model for paired comparisons is the Bradley-Terry model. This research re-parameterizes the Bradley-Terry model as a single-layer artificial neural network (A...