We establish statistical properties of random-weighting methods in LASSO regression under different regularization parameters ?n and suitable regularity conditions. The view concern repeated optimization a randomized objective function, motivated by the need for computationally efficient uncertainty quantification contemporary estimation settings. In context regression, we repeatedly assign ana...

Class imbalance problem in data, plays a critical role in use of machine learning methods for text classification since feature selection methods expect homogeneous distribution as well as machine learning methods. This study investigates two different kinds of feature selection metrics (one-sided and two-sided) as a global component of term weighting schemes (called as tffs) in scenarios where...

A new method called ‘‘edge-preserving 8-directional two-layered weighting interpolation’’ is proposed for interpolating unfilled pixels in a perspective-view or panoramic image resulting from unwarping an omni-image taken by a non-single-view-point hypercatadioptric camera. This method can solve the problem of edge preserving in interpolating the input image which has many irregularly-distribut...