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  2. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...

  3. Bootstrap aggregating - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_aggregating

    Bootstrap aggregating, also called bagging (from b ootstrap agg regat ing ), is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine learning algorithms used in statistical classification and regression.

  4. Vector Institute (Canada) - Wikipedia

    en.wikipedia.org/wiki/Vector_Institute_(Canada)

    The Vector Institute is a private, non-profit artificial intelligence research institute in Toronto focusing primarily on machine learning and deep learning research. As of 2023, it consists of 143 faculty members and affiliates — 38 of which are CIFAR AI chairs — 57 postdoctoral fellows, and 502 students. [2] Along with the University of Toronto, the Vector Institute is affiliated with ...

  5. Comparison of raster-to-vector conversion software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_raster-to...

    The following tables contain general and technical information about publicly available raster-to-vector conversion software.

  6. Feature hashing - Wikipedia

    en.wikipedia.org/wiki/Feature_hashing

    Feature hashing. In machine learning, feature hashing, also known as the hashing trick (by analogy to the kernel trick ), is a fast and space-efficient way of vectorizing features, i.e. turning arbitrary features into indices in a vector or matrix. [1] [2] It works by applying a hash function to the features and using their hash values as ...

  7. Play Dominoes All Fives Online for Free - AOL.com

    www.aol.com/games/play/masque-publishing/...

    All Fives features beautiful art, fast gameplay, and solo or multiplayer modes. Expose multiples of five and score!

  8. Feature (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Feature_(machine_learning)

    In pattern recognition and machine learning, a feature vector is an n-dimensional vector of numerical features that represent some object. Many algorithms in machine learning require a numerical representation of objects, since such representations facilitate processing and statistical analysis.

  9. Automatic vectorization - Wikipedia

    en.wikipedia.org/wiki/Automatic_vectorization

    Automatic vectorization. Automatic vectorization, in parallel computing, is a special case of automatic parallelization, where a computer program is converted from a scalar implementation, which processes a single pair of operands at a time, to a vector implementation, which processes one operation on multiple pairs of operands at once.