889 search results - page 33 / 178 » Probabilistic Neural Network Models for Sequential Data |
BMCBI
2007
13 years 8 months ago
2007
Background: Modeling cancer-related regulatory modules from gene expression profiling of cancer tissues is expected to contribute to our understanding of cancer biology as well as...
CEC
2003
IEEE
14 years 1 months ago
2003
IEEE
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
ICANN
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...
ESANN
2004
13 years 9 months ago
2004
Abstract. The amygdala has repeatedly been involved in the processing of emotional reactions and conditioning. This paper presents a neurobiologically inspired computational model ...
ECAI
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. There is currently a large interest in relational probabilistic models. While the concept of context-specific independence (CSI) has been well-studied for models such as ...