In the last few years, several algorithms for the automatic alignment of audio and score data corresponding to the same piece of music have been proposed. Among the major drawback...
Annotating music poses a cognitive load on listeners and this potentially interferes with the emotions being reported. One solution is to let software agents learn to make the ann...
Computational diagnosis of cancer is a classification problem, and it has two special requirements on a learning algorithm: perfect accuracy and small number of features used in t...
We study the specification of access control policy in large-scale distributed systems. Our work on real-world policies has shown that standard policy idioms such as role hierarc...
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...