Caches are notorious for their unpredictability. It is difficult or even impossible to predict if a memory access results in a definite cache hit or miss. This unpredictability i...
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. A comb...
The complexity, cost, and down-time currently created by the database schema evolution process is the source of incessant problems in the life of information systems and a major s...