A central issue in logical concept induction is the prospect of inconsistency. This problem may arise due to noise in the training data, or because the target concept does not fit...
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
Genetic algorithms are often applied to combinatorial optimization problems, the most popular one probably being the traveling salesperson problem. In contrast to permutations use...
In this paper, given a balance scale and the information that there are exactly two different defective coins present, the authors consider the problem of ascertaining the minimum...
This paper describes e cient and optimal encoding and representation of object contours. Contours are approximated by connected second-order spline segments, each de ned by three ...
Gerry Melnikov, Guido M. Schuster, Aggelos K. Kats...