Abstract: A unification algorithm is one of the most important parts of a First-Order Logic (FOL) inference engine because it allows for the discovery of substitutions that make two logical ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

Algorithms, examples and tests for denoising, deblurring, zooming, dequantization and compressive imaging with total variation (TV) and second-order total generalized variation (TGV) regularization.

Abstract: In mathematics, the unification problem is that of computing the parameters of two models (formulas, automata, programs, etc.) in such a way that these models have the same behavior. We ...

ABSTRACT: The paper continues the research on algorithms for generating nondeterministic finite automata possessing the following property (the so-called walibad property): among their covering ...

One of the biggest barriers to using AI successfully is bias, which is one of the terms we defined last time, as follows: Bias, in a general context, refers to a predisposition or inclination towards ...

Damas-Hindley-Milner (DHM) type inference is a powerful technique that automatically deduces the types of variables and expressions in a program, freeing programmers from explicit type declarations.