889 search results - page 55 / 178 » Probabilistic Neural Network Models for Sequential Data |
EVOW
2003
Springer
14 years 1 months ago
2003
Springer
Genetic programming (GP) based data fusion and AdaBoost can both improve in vitro prediction of Cytochrome P450 activity by combining artificial neural networks (ANN). Pharmaceuti...
ESWA
2006
13 years 8 months ago
2006
In this paper, I propose a genetic algorithm (GA) approach to instance selection in artificial neural networks (ANNs) for financial data mining. ANN has preeminent learning abilit...
EDBT
2006
ACM
14 years 8 months ago
2006
ACM
Abstract. Mobile objects have become ubiquitous in our everyday lives, ranging from cellular phones to sensors, therefore, analyzing and mining mobile data becomes an interesting p...
ICANN
2009
Springer
14 years 24 days ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
RECOMB
2003
Springer
14 years 8 months ago
2003
Springer
We develop an integrated probabilistic model to combine protein physical interactions, genetic interactions, highly correlated gene expression network, protein complex data, and d...