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  2. Nearest neighbor search - Wikipedia

    en.wikipedia.org/wiki/Nearest_neighbor_search

    Nearest neighbor search (NNS), as a form of proximity search, is the optimization problem of finding the point in a given set that is closest (or most similar) to a given point. Closeness is typically expressed in terms of a dissimilarity function: the less similar the objects, the larger the function values.

  3. Zone of proximal development - Wikipedia

    en.wikipedia.org/wiki/Zone_of_proximal_development

    If students are evidently less prepared for this learning approach and begin to compare themselves to their peers, their self-efficacy and motivation to learn can be hindered. [25] These hurdles of scaffolding and the zone of proximal development are important to acknowledge so that teachers can find solutions to the problems or alter their ...

  4. k-nearest neighbors algorithm - Wikipedia

    en.wikipedia.org/wiki/K-nearest_neighbors_algorithm

    Using an approximate nearest neighbor search algorithm makes k-NN computationally tractable even for large data sets. Many nearest neighbor search algorithms have been proposed over the years; these generally seek to reduce the number of distance evaluations actually performed. k-NN has some strong consistency results.

  5. Locality-sensitive hashing - Wikipedia

    en.wikipedia.org/wiki/Locality-sensitive_hashing

    In computer science, locality-sensitive hashing (LSH) is a fuzzy hashing technique that hashes similar input items into the same "buckets" with high probability. [1] ( The number of buckets is much smaller than the universe of possible input items.) [1] Since similar items end up in the same buckets, this technique can be used for data clustering and nearest neighbor search.

  6. Proximity search (text) - Wikipedia

    en.wikipedia.org/wiki/Proximity_search_(text)

    The basic linguistic assumption of proximity searching is that the proximity of the words in a document implies a relationship between the words. Given that authors of documents try to formulate sentences which contain a single idea, or cluster of related ideas within neighboring sentences or organized into paragraphs, there is an inherent, relatively high, probability within the document ...

  7. 4 brain games to keep your mind sharp and improve memory ...

    www.aol.com/lifestyle/4-brain-games-keep-mind...

    Or if you already know how to play, find a chess club in your area and join in (you can search on the U.S. Chess Federation’s site). Card games Breaking out a deck of cards for poker or rummy ...

  8. Subsidy Scorecards: California State University-Long Beach

    projects.huffingtonpost.com/projects/ncaa/...

    SOURCE: Integrated Postsecondary Education Data System, California State University-Long Beach (2014, 2010, 2011, 2012, 2013).Read our methodology here.. HuffPost and The Chronicle examined 201 public D-I schools from 2010-2014.

  9. Proximal gradient methods for learning - Wikipedia

    en.wikipedia.org/wiki/Proximal_gradient_methods...

    Proximal gradient methods are applicable in a wide variety of scenarios for solving convex optimization problems of the form + (),where is convex and differentiable with Lipschitz continuous gradient, is a convex, lower semicontinuous function which is possibly nondifferentiable, and is some set, typically a Hilbert space.