280 search results - page 52 / 56 » Movement Prediction Using Bayesian Learning for Neural Netwo... |
CIDM
2009
IEEE
14 years 2 months ago
2009
IEEE
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
BIBM
2008
IEEE
14 years 2 months ago
2008
IEEE
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
ICONIP
2008
13 years 9 months ago
2008
Abstract. The concept of Ensemble Learning has been shown to increase predictive power over single base learners. Given the bias-variancecovariance decomposition, diversity is char...
LWA
2004
13 years 9 months ago
2004
This paper reports first results of an empirical study of the precision of classification rules on an independent test set. We generated a large number of rules using a general co...