The naive classifier is a well-established mathematical model whose simplicity, speed and accuracy have made it a popular choice for classification in AI and engineering. In this ...
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
This paper proposes and evaluates hardware mechanisms for supporting prescient instruction prefetch--an approach to improving single-threaded application performance by using help...
Tor M. Aamodt, Paul Chow, Per Hammarlund, Hong Wan...
With the scaling of technology and the need for higher performance and more functionality, power dissipation is becoming a major bottleneck for microprocessor designs. Pipeline ba...
Hai Li, Swarup Bhunia, Yiran Chen, T. N. Vijaykuma...
McGuffin and Balakrishnan (M&B) have recently reported evidence that target expansion during a reaching movement reduces pointing time even if the expansion occurs as late as ...