Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
A program analysis is compositional when the analysis result for a particular program fragment is obtained solely from the results for its immediate subfragments via some composit...
We give the first optimal algorithm for estimating the number of distinct elements in a data stream, closing a long line of theoretical research on this problem begun by Flajolet...
Choice-based conjoint analysis builds models of consumer preferences over products with answers gathered in questionnaires. Our main goal is to bring tools from the machine learni...
One of the main problems with today's Internet traffic analysis is caused by the large number of network-based applications whose types and traffic patterns are more complicat...