首页|Study Data from Endicott College Update Knowledge of Machine Learning (A Categor y Theory Approach To the Semiotics of Machine Learning)
Study Data from Endicott College Update Knowledge of Machine Learning (A Categor y Theory Approach To the Semiotics of Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Beverly, Massachusett s, by NewsRx editors, research stated, "The successes of Machine Learning, and i n particular of Deep Learning systems, have led to a reformulation of the Artifi cial Intelligence agenda. One of the pressing issues in the field is the extract ion of knowledge out of the behavior of those systems." Our news journalists obtained a quote from the research from Endicott College, " In this paper we propose a semiotic analysis of that behavior, based on the form al model of learners. We analyze the topos-theoretic properties that ensure the logical expressivity of the knowledge embodied by learners." According to the news editors, the research concluded: "Furthermore, we show tha t there exists an ideal universal learner, able to interpret the knowledge gaine d about any possible function as well as about itself, which can be monotonicall y approximated by networks of increasing size." This research has been peer-reviewed.
BeverlyMassachusettsUnited StatesN orth and Central AmericaCyborgsEmerging TechnologiesMachine LearningSemi oticsEndicott College
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