Using a tool to solve a protein's structure, for most researchers in the world of structural biology and computational chemistry, is not unlike using the Rosetta Stone to unlock the secrets of ancient ...
Abstract: In the context of binary classification for breast cancer diagnosis, this paper offers a comparative statistical analysis of two popular classification techniques, Support Vector Machine ...
Abstract: This paper presents an innovative approach to the development of a semi-supervised Support Vector Machine aimed at classifying radio frequency signals in the communication systems of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results