Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, ...
View integration is a complex, error-prone and time-consuming task. Therefore there is a need to decompose the integration methods into smaller well defined phases where different ...
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
We have developed an extension of ACL2 that includes the implementation of hash-based association lists and function memoization; this makes some algorithms execute more quickly. ...
As technology scales down, timing verification of digital integrated circuits becomes an increasingly challenging task due to the gate and wire variability. Therefore, statistical...