Multi-class problem is the class of problems having more than one classes in the data set. Bayesian Network (BN) is a well-known algorithm handling the multi-class problem and is ...
We propose a novel near real-time method for early detection of worm outbreaks in high-speed Internet backbones. Our method attributes several behavioural properties to individual...
Capturing and exploiting knowledge is at the heart of several important problems such as decision making, the semantic web, and intelligent agents. The captured knowledge must be a...
Vinay K. Chaudhri, Kenneth S. Murray, John Pacheco...
Recent research has shown that the provisional count of votes of an ensemble of classifiers can be used to estimate the probability that the final ensemble prediction coincides w...
In this article, different techniques for 'pointer swizzling" are classified and evaluated for optimizing the access to main-memory resident persistent objects. To speed ...