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Paired association learning can be defined as a system of learning in which items (such as words, letters, numbers, symbols etc.) are matched so that presentation of one member of the pair will cue the recall of the other member. [3] It is this learning which constitutes the basics in a paired-associate task. These tasks can be divided into the ...
One popular class of machine-learned interatomic potential is the Gaussian Approximation Potential (GAP), [5] [6] [7] which combines compact descriptors of local atomic environments [8] with Gaussian process regression [9] to machine learn the potential energy surface of a given system.
In a typical study using paired-associate learning, subjects would be presented with pairs of unrelated words (cat, phone) and then memory for those word pairs would be tested. Results from Rohwer’s (1966) studies on paired-associate learning indicate that subjects have increased recall ability when words are associated with a specific ...
In the Leitner system, correctly answered cards are advanced to the next, less frequent box, while incorrectly answered cards return to the first box for more aggressive review and repetition. Spaced repetition is an evidence-based learning technique that is usually performed with flashcards.
IEEE Transactions on Neural Networks and Learning Systems is a monthly peer-reviewed scientific journal published by the IEEE Computational Intelligence Society. It covers the theory, design, and applications of neural networks and related learning systems. According to the Journal Citation Reports, the journal had a 2021 impact factor of 14. ...
In this case, the learning-to-rank problem is approximated by a classification problem — learning a binary classifier (,) that can tell which document is better in a given pair of documents. The classifier shall take two documents as its input and the goal is to minimize a loss function L ( h ; x u , x v , y u , v ) {\displaystyle L(h;x_{u},x ...
With prices starting at $60 per frame, prescription lenses included, Pair is already pretty affordable. However, for a limited time, Yahoo Life readers can save 15 percent on any Pair Eyewear ...
Multi-agent reinforcement learning (MARL) is a sub-field of reinforcement learning. It focuses on studying the behavior of multiple learning agents that coexist in a shared environment. [ 1 ] Each agent is motivated by its own rewards, and does actions to advance its own interests; in some environments these interests are opposed to the ...
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