A classical learning problem in Inductive Inference consists of identifying each function of a given class of recursive functions from a finite number of its output values. Unifor...
UML is widely used today for modelling complex systems. However, the tools support capabilities for UML is limited, partially due to its lack of precise semantics. There are some ...
One of the major challenges of post-PC computing is the need to reduce energy consumption, thereby extending the lifetime of the batteries that power these mobile devices. Memory ...
Alvin R. Lebeck, Xiaobo Fan, Heng Zeng, Carla Schl...
We review the close relationship between abstract machines for (call-by-name or call-by-value) λ-calculi (extended with Felleisen’s C) and sequent calculus, reintroducing on the...
A number of Inductive Logic Programming (ILP) systems have addressed the problem of learning First Order Logic (FOL) discriminant definitions by first reformulating the FOL lear...