|
|
|
|
|
Yao Zou and Changchun Gao
Credit scoring is an effective tool for banks and lending companies to manage the potential credit risk of borrowers. Machine learning algorithms have made grand progress in automatic and accurate discrimination of good and bad borrowers. Notably, ensemb...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nicolas Akil, Guillaume Artigue, Michaël Savary, Anne Johannet and Marc Vinches
Neural networks are used to forecast hydrogeological risks, such as droughts and floods. However, uncertainties generated by these models are difficult to assess, possibly leading to a low use of these solutions by water managers. These uncertainties are...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bo Qu, Xingnan Zhang, Florian Pappenberger, Tao Zhang, Yuanhao Fang
Pág. 1 - 13
Statistical post-processing for multi-model grand ensemble (GE) hydrologic predictions is necessary, in order to achieve more accurate and reliable probabilistic forecasts. This paper presents a case study which applies Bayesian model averaging (BMA) to ...
ver más
|
|
|
|
|
|
|
|
|
|
|
William Seffens
Much of biology-inspired computer science is based on the Central Dogma, as implemented with genetic algorithms or evolutionary computation. That 60-year-old biological principle based on the genome, transcriptome and proteasome is becoming overshadowed ...
ver más
|
|
|
|
|
|