Biosignals for driver's stress level assessment : functional variable selection and fractal characterization

At this point, we have methods (variable selection and network inference) that return intelligible outputs (cell signature and transcriptional regulatory network), able to deal

MODEL FOR THE OBSERVATIONS A set of measured protein concentrations for a cohort of N individuals is available.The proposed biomarker selection method is univariate, hence the

Our major contribution is to rely on a meaningful ordering of level lines in order to minimize this energy functional on the tree of shapes.. As a consequence, the proposed

Near infrared reflectance spectroscopy (NIRS) was used to predict six biological properties of soil and earthworm casts including extracellular soil enzymes, microbial

FEF (1) and LIP (2) population responses in trials in which the first stream was presented within the receptive field (black, mean ⫾ SE) or opposite (gray), aligned on the first

Keywords and phrases: Categorical multivariate data, clustering, mix- ture models, model selection, penalized likelihood, population genetics, slope heuristics,

Keywords: Blue shark logbook data; cross-validation; nonnegative gar- rote; nonparametric regression; shrinkage methods; variable selection....

Regarding the variable selection method, the performances of the neural network trained with 90 variables shows a marginal degradation of the performance as compared to the