learning technique

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• Learning classifier system — A learning classifier system, or LCS, is a machine learning system with close links to reinforcement learning and genetic algorithms. First described by John Holland, his LCS consisted of a population of binary rules on which a genetic algorithm… …   Wikipedia

• Learning management system — Pour les articles homonymes, voir LMS. Article principal : Technologies de l information et de la communication pour l éducation. Un Learning Management System (LMS) ou Learning Support System (LSS) est un système logiciel web développé pour …   Wikipédia en Français

• Learning — Learn and Learned redirect here. For other uses, see Learn (disambiguation) and Learned (disambiguation). Neuropsychology Topics …   Wikipedia

• learning curve — A technique that takes into account the reduction in time taken to carry out production as the cumulative output rises. The concept is based on a doubling of output, so that a 70% learning curve means that the cumulative average time taken per… …   Accounting dictionary

• learning curve — A technique that takes into account the reduction in time taken to carry out production as the cumulative output rises. The concept is based on a doubling of output, so that a 70% learning curve means that the cumulative average time taken per… …   Big dictionary of business and management

• learning objective — noun Any fact, technique or other outcome that a student is expected to learn or achieve at the end of a specific course of instruction …   Wiktionary

• Rote learning — By heart redirects here. For the album by Lea Salonga, see By Heart. Rote learning is a learning technique which focuses on memorization. The major practice involved in rote learning is learning by repetition by which students commit information… …   Wikipedia

• Programmed learning — is a learning technique first proposed by the Pressey made popular bybehaviorist B. F. Skinner in 1958. According to Skinner, the purpose of programmed learning is to manage human learning under controlled conditions . It is similar in some ways… …   Wikipedia

• One-shot learning — is an object categorization problem of current research interest in computer vision. Whereas most machine learning based object categorization algorithms require training on hundreds or thousands of images and very large datasets, one shot… …   Wikipedia

• Augmented learning — is an on demand learning technique where the environment adapts to the learner. Instead of focusing on memorization, supplemental information is presented to the learner based on the current context. The augmented content can be dynamically… …   Wikipedia

• Supervised learning — is a machine learning technique for learning a function from training data. The training data consist of pairs of input objects (typically vectors), and desired outputs. The output of the functioncan be a continuous value (called regression), or… …   Wikipedia