889 search results - page 72 / 178 » Probabilistic Neural Network Models for Sequential Data |
AIME
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Mammographic analysis is a difficult task due to the complexity of image interpretation. This results in diagnostic uncertainty, thus provoking the need for assistance by...
ICDE
2006
IEEE
14 years 9 months ago
2006
IEEE
Until recently, most data integration techniques involved central components, e.g., global schemas, to enable transparent access to heterogeneous databases. Today, however, with t...
KDD
1995
ACM
13 years 11 months ago
1995
ACM
Probabilistic expert systemsbased on Bayesian networks(BNs)require initial specification both a qualitative graphical structure and quantitative assessmentof conditional probabili...
ICANN
2010
Springer
13 years 9 months ago
2010
Springer
Many statistical methods have been proposed to estimate causal models in classical situations with fewer variables than observations. However, modern datasets including gene expres...
ICANN
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. The Self-Organising Map (SOM) is a well-known neuralnetwork model that has successfully been used as a data analysis tool in many different domains. The SOM provides a to...