In this paper we address the problem of selecting variables or features in a regression model in the presence of both additive (vertical) and leverage outliers. Since variable sel...
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Growing sequencing and assembly efforts have been met by the advances in high throughput machines. However, the presence of massive amounts of repeats and transposons complicates ...
Nirmalya Bandyopadhyay, A. Mark Settles, Tamer Kah...
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...