The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
This paper addresses the problem of approximate singular value decomposition of large dense matrices that arises naturally in many machine learning applications. We discuss two re...
This paper introduces a novel machine learning model called multiple instance ranking (MIRank) that enables ranking to be performed in a multiple instance learning setting. The mo...
Charles Bergeron, Jed Zaretzki, Curt M. Breneman, ...
A most critical and complex issue with regard to constrained devices in the ubiquitous and pervasive computing setting is secure key exchange. The restrictions motivate the invest...
In this paper, we report on the design of a part-of-speech-tagset for Wolof and on the creation of a semi-automatically annotated gold standard. The main motivation for this resou...
Cheikh M. Bamba Dione, Jonas Kuhn, Sina Zarrie&szl...