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  2. Yuri Gagarin - Wikipedia

    en.wikipedia.org/wiki/Yuri_Gagarin

    t. e. Yuri Alekseyevich Gagarin [a] [b] (9 March 1934 – 27 March 1968) was a Soviet pilot and cosmonaut who, aboard the first successful crewed spaceflight, became the first human to journey into outer space. Travelling on Vostok 1, Gagarin completed one orbit of Earth on 12 April 1961, with his flight taking 108 minutes.

  3. Version space learning - Wikipedia

    en.wikipedia.org/wiki/Version_space_learning

    The intermediate (thin) rectangles represent the hypotheses in the version space. Version space learning is a logical approach to machine learning, specifically binary classification. Version space learning algorithms search a predefined space of hypotheses, viewed as a set of logical sentences. Formally, the hypothesis space is a disjunction [1]

  4. New York City Subway - Wikipedia

    en.wikipedia.org/wiki/New_York_City_Subway

    The New York City Subway is a rapid transit system in the New York City boroughs of Manhattan, Brooklyn, Queens, and the Bronx. It is owned by the government of New York City and leased to the New York City Transit Authority, [14] an affiliate agency of the state-run Metropolitan Transportation Authority (MTA). [15]

  5. Parking space - Wikipedia

    en.wikipedia.org/wiki/Parking_space

    A parking space, parking place or parking spot is a location that is designated for parking, either paved or unpaved. It can be in a parking garage, in a parking lot or on a city street. The space may be delineated by road surface markings. The automobile fits inside the space, either by parallel parking, perpendicular parking or angled parking ...

  6. Multilinear subspace learning - Wikipedia

    en.wikipedia.org/wiki/Multilinear_subspace_learning

    When observations are retained in the same organizational structure as matrices or higher order tensors, their representations are computed by performing linear projections into the column space, row space and fiber space. Multilinear subspace learning algorithms are higher-order generalizations of linear subspace learning methods such as ...

  7. Learning - Wikipedia

    en.wikipedia.org/wiki/Learning

    v. t. e. Learning is the process of acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. [1] The ability to learn is possessed by humans, non-human animals, and some machines; there is also evidence for some kind of learning in certain plants. [2] Some learning is immediate, induced by a single event (e ...

  8. Reproducing kernel Hilbert space - Wikipedia

    en.wikipedia.org/wiki/Reproducing_kernel_Hilbert...

    In functional analysis (a branch of mathematics ), a reproducing kernel Hilbert space ( RKHS) is a Hilbert space of functions in which point evaluation is a continuous linear functional. Roughly speaking, this means that if two functions and in the RKHS are close in norm, i.e., is small, then and are also pointwise close, i.e., is small for all .

  9. Mamba (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Mamba_(deep_learning...

    Machine learningand data mining. Mamba is a deep learning architecture focused on sequence modeling. It was developed by researchers from Carnegie Mellon University and Princeton University to address some limitations of transformer models, especially in processing long sequences. It is based on the Structured State Space sequence (S4) model.