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 ...
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 ...
I (94) esp_image: segment 0: paddr=00010020 vaddr=3f400020 size=1e314h (123668) map I (133) esp_image: segment 1: paddr=0002e33c vaddr=3ff80000 size=0001ch ( 28) load I (133) esp_image: segment 2: ...
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 ...
Morrison Foerster attorneys assess the effects of excessive screen time on minors and how legislation in the US and UK seeks to address addictive online behavior. Concerns over the long-term impact of ...
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 ...