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  2. William E. Doll Jr. - Wikipedia

    en.wikipedia.org/wiki/William_E._Doll_Jr.

    William "Bill" Elder Doll Jr. (January 29, 1931 – December 27, 2017) was an American educator, author and curriculum theorist. Doll's scholarly study started in progressivism, moved to Piaget, and gradually shifted to postmodernism, chaos theory and complexity and their implications for school curriculum. [1]

  3. Learning curve - Wikipedia

    en.wikipedia.org/wiki/Learning_curve

    A learning curve is a graphical representation of the relationship between how proficient people are at a task and the amount of experience they have. Proficiency (measured on the vertical axis) usually increases with increased experience (the horizontal axis), that is to say, the more someone, groups, companies or industries perform a task, the better their performance at the task.

  4. Curriculum vitae - Wikipedia

    en.wikipedia.org/wiki/Curriculum_vitae

    The term curriculum vitae and its abbreviation, CV, are also used especially in academia to refer to extensive or even complete summaries of a person's career, qualifications, and education, including publications and other information. This has caused the widespread misconception that it is incorrect to refer to short CVs as CVs in American ...

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    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  6. Learning curve (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Learning_curve_(machine...

    In machine learning (ML), a learning curve (or training curve) is a graphical representation that shows how a model's performance on a training set (and usually a validation set) changes with the number of training iterations (epochs) or the amount of training data. [1]

  7. Computational learning theory - Wikipedia

    en.wikipedia.org/wiki/Computational_learning_theory

    In addition to performance bounds, computational learning theory studies the time complexity and feasibility of learning. [citation needed] In computational learning theory, a computation is considered feasible if it can be done in polynomial time. [citation needed] There are two kinds of time complexity results: