This paper presents a new method for branch prediction. The key idea is to use one of the simplest possible neural networks, the perceptron as an alternative to the commonly used ...
Dynamic power management in enterprise environments requires an understanding of the relationship between resource utilization and system-level power consumption. Power models bas...
Perception of an accurate sense of the scale depicted in computer graphics is important for many applications. How to best characterize the accuracy of space perception in compute...
Michael Geuss, Jeanine Stefanucci, Sarah H. Creem-...
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...