Error-Correcting Output Codes (ECOC) provide a robust framework for decomposing multi-class classification challenges into multiple binary sub-problems. By constructing a codematrix that assigns each ...

“What people should appreciate is that much of our research involves seeking the truth and solving problems,” said UMBC President Freeman A. Hrabowski III. (The Daily Record/File Photo) The University ...

The goal of a binary classification problem is to predict an output value that can be one of just two possible discrete values, such as "male" or "female." This article is the first in a series of ...

Because machine learning with deep neural techniques has advanced quickly, our resident data scientist updates binary classification techniques and best practices based on experience over the past two ...