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  2. Old School RuneScape - Wikipedia

    en.wikipedia.org/wiki/Old_School_RuneScape

    Old School RuneScape is a massively multiplayer online role-playing game (MMORPG), developed and published by Jagex.The game was released on 16 February 2013. When Old School RuneScape launched, it began as an August 2007 version of the game RuneScape, which was highly popular prior to the launch of RuneScape 3.

  3. Max Boot - Wikipedia

    en.wikipedia.org/wiki/Max_Boot

    Max Boot [2] (born September 12, 1969) is a Russian-born naturalized American author, editorialist, lecturer, and military historian. [3] He worked as a writer and editor for The Christian Science Monitor and then for The Wall Street Journal in the 1990s.

  4. Thigh-high boots - Wikipedia

    en.wikipedia.org/wiki/Thigh-high_boots

    Thigh-high boots, known also as thigh-length boots or simply thigh boots, are boots that extend above the knees to at least mid-thigh. Other terms for this footwear include over-the-knee boots, a name originally used for 15th century riding boots for men. These are sometimes called pirate boots, especially when cuffed. Over-the-knee boots are ...

  5. Hiking boot - Wikipedia

    en.wikipedia.org/wiki/Hiking_boot

    A Meindl boot with crampons attached. Upper: The upper part of a hiking boot is intended to protect and support the foot with an all-over snug fit. Uppers should be water repellent/proof, but allow the feet to breathe to prevent excess moisture from causing blisters and other discomfort.

  6. Bast shoe - Wikipedia

    en.wikipedia.org/wiki/Bast_shoe

    Bast shoes are shoes made primarily from bast — fiber taken from the bark of trees such as linden. They are a kind of basket, woven and fitted to the shape of a foot. Bast shoes are a traditional footwear of the forest areas of Northeastern Europe, formerly worn by poorer members of the Finnic peoples, Balts, Russians, and Belarusians. They ...

  7. Boosting (machine learning) - Wikipedia

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

    In machine learning (ML), boosting is an ensemble metaheuristic for primarily reducing bias (as opposed to variance). [1] It can also improve the stability and accuracy of ML classification and regression algorithms.