I show how a conversational process that takes simple, intuitively meaningful steps may be understood as a sophisticated computation that derives the richly detailed, complex repr...
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
Operators for delimiting control and for capturing composable continuations litter the landscape of theoretical programming language research. Numerous papers explain their advant...
Matthew Flatt, Gang Yu, Robert Bruce Findler, Matt...
— The protein structure prediction (PSP) problem is one of the most important problems in computational biology. This paper proposes a novel Estimation of Distribution Algorithms...
This position paper supports the view that a model based on shared objects is an attractive alternative to message passing for structuring distributed applications and that a distr...
Pierre-Yves Chevalier, Daniel Hagimont, Sacha Krak...