The graph classification problem is learning to classify separate, individual graphs in a graph database into two or more categories. A number of algorithms have been introduced fo...
Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Coo...
Empirical program optimizers estimate the values of key optimization parameters by generating different program versions and running them on the actual hardware to determine which...
Kamen Yotov, Xiaoming Li, Gang Ren, Michael Cibuls...
The method of paired comparison based on Thurstone's Case V of his Law of Comparative Judgments is often used as a psychophysical method to derive interval scales of perceptua...
This paper describes an empirical study to investigate the performance of a wide range of classifiers deployed in applications to classify biometric data. The study specifically re...
—This paper describes the application of various search techniques to the problem of automatic empirical code optimization. The search process is a critical aspect of auto-tuning...