A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
, reproductive value, soft selectionAbstract Structural complexity characterizes our representations of dissipative structures. As a mechanistic concept, when referred to natural s...
Noise and component failure is an increasingly difficult problem in modern electronic design. Bioinspired techniques is one approach that is applied in an effort to solve such is...
Morten Hartmann, Pauline C. Haddow, Per Kristian L...
Abstract. This paper studies the extension of the Generalization Complexity (GC) measure to real valued input problems. The GC measure, defined in Boolean space, was proposed as a...
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...
Adam Woznica, Alexandros Kalousis, Melanie Hilario