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Davidson & Associates, Inc. was an American developer of educational software based in Torrance, California. The company was founded in 1984 by husband-and-wife Bob and Jan Davidson, the latter of whom led the company as president until January 1997. Specializing in the production of edutainment software, the company was acquired by CUC ...
v. t. e. Sparse dictionary learning (also known as sparse coding or SDL) is a representation learning method which aims at finding a sparse representation of the input data in the form of a linear combination of basic elements as well as those basic elements themselves. These elements are called atoms and they compose a dictionary.
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e. Extreme learning machines are feedforward neural networks for classification, regression, clustering, sparse approximation, compression and feature learning with a single layer or multiple layers of hidden nodes, where the parameters of hidden nodes (not just the weights connecting inputs to hidden nodes) need to be tuned.
learningcompany .com. The Learning Company ( TLC) was an educational software company founded in 1980 in Palo Alto, California and headquartered in Fremont, California. The company produced a grade-based line of learning software, edutainment games, and productivity tools. Its titles included the flagship series Reader Rabbit, for preschoolers ...
Spaced learning. Spaced learning is a learning method in which highly condensed learning content is repeated three times, with two 10-minute breaks during which distractor activities such as physical activities are performed by the students.
t. e. Second-language acquisition ( SLA ), sometimes called second-language learning —otherwise referred to as L2 ( language 2) acquisition, is the process by which people learn a second language. Second-language acquisition is also the scientific discipline devoted to studying that process.
Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of multiple layers in the network. Methods used can be either supervised, semi-supervised or unsupervised. [2]
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