Traduction de «algorithme d'apprentissage » (Français → Anglais) :

perceptron learning rule [ perceptron algorithm | perceptron convergence procedure | perceptron convergence theorem ]

chunking algorithm

learning algorithm

competitive learning algorithm

Definition: Disorders in which the normal patterns of skill acquisition are disturbed from the early stages of development. This is not simply a consequence of a lack of opportunity to learn, it is not solely a result of mental retardation, and it is not due to any form of acquired brain trauma or disease.

Definition: A disorder characterized by impairment of memory, learning difficulties, and reduced ability to concentrate on a task for more than brief periods. There is often a marked feeling of mental fatigue when mental tasks are attempted, and new learning is found to be subjectively difficult even when objectively successful. None of these symptoms is so severe that a diagnosis of either dementia (F00-F03) or delirium (F05.-) can be made. This diagnosis should be made only in association with a specified physical disorder, and should not be made in the presence of any of the mental or behavioural disorders classified to F10-F99. The d ...[+++]isorder may precede, accompany, or follow a wide variety of infections and physical disorders, both cerebral and systemic, but direct evidence of cerebral involvement is not necessarily present. It can be differentiated from postencephalitic syndrome (F07.1) and postconcussional syndrome (F07.2) by its different etiology, more restricted range of generally milder symptoms, and usually shorter duration.

Knowledge acquisition disability NOS Learning:disability NOS | disorder NOS

competitive learning algorithm

cryptographic algorithm | cryptological algorithm | encipherment algorithm | encryption algorithm

community-based learning | CBL [Abbr.]

We've improved the speed and accuracy of our removals - today, 98 percent of the videos we remove for violent extremism on YouTube are flagged to us by machine-learning algorithms, up from 75 percent just a few months ago, and we've a goal to bring the number of people working to tackle problematic content across Google to 10,000 in 2018.

2) Learning in Automata Networks : Towards a Neurocomputing Machine The aim is to design and build a neurocomputing machine with learning abilities. To achieve this, theoretical studies will be needed to improve learning algorithms for automata networks (software which will allow robots to carry out adaptive learning).

The project will also study the application of learning algorithms in signal-processing and artificial intelligence in order to improve their relevance ; and will begin to design and build machines after looking at ways to improve existing machine architectures and ways to build neural machines of a significant size.