Lasso based feature selection for malaria risk exposure prediction

We developed a novel method (NetSparse) that uses Bayesian neural networks with variable selection for the prediction of genotypic values of individuals, includ- ing

Once the signature is determined, we finally build the classifier from the whole dataset and test it on an unseen set of observations, leading to an estimation of the

Detecting the past and current bottleneck is one step to improving system out- put. Yet another major step is to predict the behavior of the bottleneck in the future. If a shift in

3.2 Applying Conformal Prediction into Fingerprinting method Giving a training database B mapping physical location co-ordinate to correct Bluetooth signal pattern, and a

We have improved the RJMCM method for model selection prediction of MGPs on two aspects: first, we extend the split and merge formula for dealing with multi-input regression, which

1) Combination of WPF models: Besides using the same model for producing wind po- wer forecast ensembles to compute risk indices and to compute energy imbalances it is also of

For example, De Bruin and Kästner ( 2012 ) recently proposed that the Developmental Puzzle is best addressed in terms of the relation between coupled (online) and decoupled

Bien qu’improvisées, ses interventions résultent d’une synthèse immédiate des objectifs qu’il poursuit, de sa maîtrise de la matière à enseigner, de ses habiletés en