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Memo Akten’s Learning to See: from machine vision to the machinic unconscious
This article uses Memo Akten’s art installation Learning to See (Akten https://www.memo.tv/portfolio/learning-to-see/, 2017) to challenge the belief that machine learning and machine vision are neutral and objective ...
Memo Akten’s Learning to See: from machine vision to the machinic unconscious.
This article uses Memo Akten’s art installation Learning to See (Akten https://www.memo.tv/portfolio/learning-to-see/, 2017) to challenge the belief that machine learning and machine vision are neutral and objective ...
Learning Reward Machines: A Study in Partially Observable Reinforcement Learning
(2023)
Reinforcement Learning (RL) is a machine learning paradigm wherein an artificial agentinteracts with an environment with the purpose of learning behaviour that maximizesthe expected cumulative reward it receives from the ...
Assessing irace for automated machine and deep learning in computer vision
(Universidade Federal do Rio Grande do NorteBrasilUFRNPROGRAMA DE PÓS-GRADUAÇÃO EM TECNOLOGIA DA INFORMAÇÃO, 2021-06-29)
Obtaining Anti-Missile Decoy Launch Solution from a Ship Using Machine Learning Techniques
One of the most dangerous situations a warship may face is a missile attack launched from other ships, aircrafts, submarines or land. In addition, given the current scenario, it is not ruled out that a terrorist group may ...
Theory of machine learning based on nonrelativistic quantum mechanics
(World ScientificPE, 2021)
The goal of this paper is the presentation of the elementary procedures that normally are done in nonrelativistic Quantum Mechanics in terms of the principles of Machine Learning. In essence, this paper discusses Mitchell's ...
Preliminary diagnosis of ophtalmological diseases through machine learning techniques
(2011)
Although one can find several patents addressing surgery procedures to tackle ophthalmological diseases, it is very unusual to find other ones that apply machine learning techniques to automatically identify them. In this ...