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  2. Lifecycle Modeling Language - Wikipedia

    en.wikipedia.org/wiki/Lifecycle_Modeling_Language

    LML captures the entire lifecycle from cradle to grave. [1] Systems Engineers have identified complexity as a major issue. [3] LML is a new approach to analyzing, planning, specifying, designing, building and maintaining modern systems. LML focuses on these 6 goals: 1. To be easy to understand 2. To be easy to extend 3.

  3. Lille Laboratory of Mechanics - Wikipedia

    en.wikipedia.org/wiki/Lille_Laboratory_of_Mechanics

    The Laboratoire de mécanique de Lille (LML) is a French research laboratory (UMR 8107) part of the Carnot Institute ARTS. More than 200 people work in this laboratory which was created in 1985. It supports academic activities in the following graduate schools: Arts et Métiers ParisTech (ENSAM) École centrale de Lille; University of Lille

  4. Top Secret (company) - Wikipedia

    en.wikipedia.org/wiki/Top_Secret_(company)

    Top Secret Co., Ltd. (株式会社トップシークレット, Kabushiki-gaisha Toppu Shīkuretto) is a Japanese automobile tuner and parts manufacturer. The company was founded by Japanese automotive engineer and driver, Kazuhiko “Smokey” Nagata.

  5. TechArt - Wikipedia

    en.wikipedia.org/wiki/TechArt

    TECHART Automobildesign GmbH is a German automobile tuner specialized in existing Porsches, for which they offer extensive tuning packages. [1] The company was founded in 1987 by Thomas Behringer, Reinhold Mattes and Matthias Kraus in Fellbach and a year later the headquarters were moved to Leonberg, Germany. Through the 1990s, Techart ...

  6. Parts of the US get their first snow of the winter season ...

    www.aol.com/news/parts-us-first-snow-winter...

    Parts of the United States are seeing snow for the first time this winter. Moderate to heavy snow is forecast for portions of the central Appalachians Friday, according to the National Weather ...

  7. Hyperparameter optimization - Wikipedia

    en.wikipedia.org/wiki/Hyperparameter_optimization

    In machine learning, hyperparameter optimization [1] or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process, which must be configured before the process starts.

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