We present in this paper a new learning problem called learning distributions from experts. In the case we study the experts are stochastic deterministic finite automata (sdfa). W...
We present a novel approach to concept learning in which a coevolutionary genetic algorithm is applied to the construction of an immune system whose antibodies can discriminate bet...
In many data mining applications we are given a set of training examples and asked to construct a regression machine or a classifier that has low prediction error or low error rat...
Appropriate clustering of objects into pages in secondary memory is crucial to achieving good performance in a persistent object store. We present a new approach, termed semantic ...
This paper introduces an approach to automatic synthesis of the specification models of routing protocol behavior from the observed flow of the network traffic. In particular, our...