The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest v...
There has been a proliferation of block-diagram environments for specifying and prototyping DSP systems. These include tools from academia like Ptolemy [3], and GRAPE [7], and com...
We propose a conservative extension of the polymorphic lambda calculus (A5B ) as an intermediate language for compiling languages with name-based class and interface hierarchies. ...
Several algorithms have been proposed for finding the “best,” “optimal,” or “most interesting” rule(s) in a database according to a variety of metrics including confid...
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...