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  2. Spreading activation - Wikipedia

    en.wikipedia.org/wiki/Spreading_activation

    Spreading activation is a method for searching associative networks, biological and artificial neural networks, or semantic networks. [1] The search process is initiated by labeling a set of source nodes (e.g. concepts in a semantic network) with weights or "activation" and then iteratively propagating or "spreading" that activation out to other nodes linked to the source nodes.

  3. Bag-of-words model - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model

    It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a classifier. [1] It has also been used for computer vision. [2]

  4. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    For example, the IBM Watson system might be used to comb through massive data such as medical records and clinical trials to help diagnose a problem. [93] Microsoft's AI project Hanover helps doctors choose cancer treatments from among the more than 800 medicines and vaccines.

  5. Code-division multiple access - Wikipedia

    en.wikipedia.org/wiki/Code-division_multiple_access

    CDMA is a spread-spectrum multiple-access technique. A spread-spectrum technique spreads the bandwidth of the data uniformly for the same transmitted power. A spreading code is a pseudo-random code in the time domain that has a narrow ambiguity function in the frequency domain, unlike other narrow pulse codes. In CDMA a locally generated code ...

  6. Apache SystemDS - Wikipedia

    en.wikipedia.org/wiki/Apache_SystemDS

    SystemDS 2.0.0 is the first major release under the new name. This release contains a major refactoring, a few major features, a large number of improvements and fixes, and some experimental features to better support the end-to-end data science lifecycle.

  7. Label propagation algorithm - Wikipedia

    en.wikipedia.org/wiki/Label_propagation_algorithm

    Label propagation is a semi-supervised algorithm in machine learning that assigns labels to previously unlabeled data points. At the start of the algorithm, a (generally small) subset of the data points have labels (or classifications).

  8. Fenwick tree - Wikipedia

    en.wikipedia.org/wiki/Fenwick_tree

    A Fenwick tree or binary indexed tree (BIT) is a data structure that stores an array of values and can efficiently compute prefix sums of the values and update the values. It also supports an efficient rank-search operation for finding the longest prefix whose sum is no more than a specified value.

  9. Programming by example - Wikipedia

    en.wikipedia.org/wiki/Programming_by_example

    The system records user actions and infers a generalized program that can be used on new examples. PbE is intended to be easier to do than traditional computer programming, which generally requires learning and using a programming language. Many PbE systems have been developed as research prototypes, but few have found widespread real-world ...