Typical machine learning classification benchmark problems often ignore the full input data structures present in real-world classification problems.Here we aim to represent additional information as "hints" for classification.We show that under a specific realistic conditional independence assumption, the hint information can be included by late f
Racial differences in suicidal ideation among school going adolescents
Background: Young adults are at increased risk for suicidal behavior and there is growing concern about racial differences in suicidal ideation, especially in the younger population.Aim: The aim of this study is to assess suicidal ideation in school going tribal and nontribal Indoor adolescents and to study its relationships with psychological well
Digital Signal Extraction by Means of Nonlinear Stochastic Filtration
The results of noise immunity analysis for digital communication systems using methods of nonlinear filtering are given.Nonlinear filtration is based Bakery on stochastic resonance effect.The stochastic resonance is given to a phenomenon that is manifest in nonlinear systems where by generally feeble input information (such as a weak signal) can be