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Bcpnn

A Bayesian Confidence Neural Network (BCPNN) is an artificial neural network inspired by Bayes' theorem: node activations represent probability… 
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Artificial neural networkFeedforward neural network

Papers overview

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2015
2015
Statistical Methods for Drug Safety
Introduction Randomized Clinical Trials Observational Studies The Problem of Multiple Comparisons The Evolution of Available Data… 
2014
2014
Signal Detection - An Imperative Activity of Pharmacovigilance
Signal detection is important and core activity of pharmacovigilance. The primary aims of pharmacovigilance are to collect… 
2012
2012
Effective and Efficient Correlation Analysis with Application to Market Basket Analysis and Network Community Detection.
Finding the most interesting correlations among items is essential for problems in many commercial, medical, and scientific… 
2011
2011
Implementation of Conduction Delay and Collective Communication in a Parallel Spiking Neural Network Simulator.
Tahmina AktherImplementation of conduction delay and collective communication in a parallel spiking neural network simulatorAs we… 
2009
2009
Research of signal detection and automatic warning technology for adverse drug reaction based on BCPNN method
To deal with the problems which existed in the field of adverse drug reaction(ADR) signal detection and automatic warning in our… 
2005
2005
A Canonical Model of the Primary Visual Cortex
Ny datormodell visar hur hjarnan behandlar informationBaran Curuklus forskning handlar om att forsta hur syncentret i hjarnan… 
2005
2005
A Mean Field Approximation of BCPNN
In this report we study a mean field (MF) approximation of the Bayesian Confidence Propagating Neural Network (BCPNN) for which… 
2003
2003
Mapping of the BCPNN onto Cluster Computers
We describe how complex systems of multiple BCPNN (Bayesian Confidence Propagating Neural Networks) networks are modeled… 
2000
2000
Bayesian Neural Networks used to Find Adverse Drug Combinations and Drug Related Syndromes
The data mining task we are interrested in is to find associations between variables in a large database. The method we have… 
2000
2000
Cortical associative memory and BCPNN
Our research centers around mathematical modeling and computer simulation of biological nervous systems, the brain in particular… 
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