We present a learning framework for Markovian decision processes that is based on optimization in the policy space. Instead of using relatively slow gradient-based optimization al...
This paper discusses about several combinations of protein similarity measurement-methods, with respect to normalization, spatial partitions, geometrical properties, and distance ...
We present a new conceptual abstraction in symmetry breaking – the GE-tree. The construction and traversal of a GE-tree breaks all symmetries in any constraint satisfaction or si...
Colva M. Roney-Dougal, Ian P. Gent, Tom Kelsey, St...
Scientists need customizable tools to help them with discovery. We present an adjustable heuristic function for scientific discovery. This function may be considered in either a Mi...
An urn-ball probabilistic model of the labor market is developed. Agents can be employed, (voluntary or involuntary) unemployed or entrepreneurs. The analytical long run equilibri...