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  2. Minecraft modding - Wikipedia

    en.wikipedia.org/wiki/Minecraft_modding

    A Minecraft mod is a mod that changes aspects of the sandbox game Minecraft. Minecraft mods can add additional content to the game, make tweaks to specific features, and optimize performance. Thousands of mods for the game have been created, with some mods even generating an income for their authors.

  3. The Dark Eye: Skilltree Saga - Wikipedia

    en.wikipedia.org/wiki/The_Dark_Eye:_Skilltree_Saga

    The Dark Eye: Skilltree Saga uses 2D and 2.5D graphics and involves creating a character and progressing through the story whilst unlocking various abilities in the skill tree. [ 3 ] Reception

  4. Constructing skill trees - Wikipedia

    en.wikipedia.org/wiki/Constructing_skill_trees

    Constructing skill trees (CST) is a hierarchical reinforcement learning algorithm which can build skill trees from a set of sample solution trajectories obtained from demonstration. CST uses an incremental MAP ( maximum a posteriori ) change point detection algorithm to segment each demonstration trajectory into skills and integrate the results ...

  5. Technology tree - Wikipedia

    en.wikipedia.org/wiki/Technology_tree

    The tech tree is the representation of all possible paths of research a player can take, up to the culmination of said sequence. A player who is engaged in research activities is said to be "teching up", "going up the tech tree", or "moving up the tech tree". Analysis of a tech tree can lead players to memorize and use specific build orders.

  6. Ulmus americana 'Valley Forge' - Wikipedia

    en.wikipedia.org/wiki/Ulmus_americana_'Valley_Forge'

    The American Elm cultivar Ulmus americana 'Valley Forge' was raised by the Agricultural Research Service in Maryland. The tree was released to wholesale nurseries without patent restrictions by the U. S. National Arboretum in 1995 after proving to have a high resistance to Dutch elm disease. 'Valley Forge' proved only moderately successful in ...

  7. Random forest - Wikipedia

    en.wikipedia.org/wiki/Random_forest

    The reason for doing this is the correlation of the trees in an ordinary bootstrap sample: if one or a few features are very strong predictors for the response variable (target output), these features will be selected in many of the B trees, causing them to become correlated. An analysis of how bagging and random subspace projection contribute ...

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