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  2. Trial and error - Wikipedia

    en.wikipedia.org/wiki/Trial_and_error

    However, there are intermediate methods that, for example, use theory to guide the method, an approach known as guided empiricism. [citation needed] This way of thinking has become a mainstay of Karl Popper's critical rationalism. [citation needed]

  3. Generalization error - Wikipedia

    en.wikipedia.org/wiki/Generalization_error

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file

  4. Error-driven learning - Wikipedia

    en.wikipedia.org/wiki/Error-driven_learning

    In reinforcement learning, error-driven learning is a method for adjusting a model's (intelligent agent's) parameters based on the difference between its output results and the ground truth. These models stand out as they depend on environmental feedback, rather than explicit labels or categories. [ 1 ]

  5. Learning engineering - Wikipedia

    en.wikipedia.org/wiki/Learning_engineering

    Learning Engineering is the systematic application of evidence-based principles and methods from educational technology and the learning sciences to create engaging and effective learning experiences, support the difficulties and challenges of learners as they learn, and come to better understand learners and learning. It emphasizes the use of ...

  6. Edisonian approach - Wikipedia

    en.wikipedia.org/wiki/Edisonian_approach

    Historian Thomas Hughes (1977) describes the features of Edison's method. In summary, they are: Hughes says, "In formulating problem-solving ideas, he was inventing; in developing inventions, his approach was akin to engineering; and in looking after financing and manufacturing and other post-invention and development activities, he was innovating."

  7. Out-of-bag error - Wikipedia

    en.wikipedia.org/wiki/Out-of-bag_error

    Supervised learning; Unsupervised learning; Semi-supervised learning; Self-supervised learning; Reinforcement learning; Meta-learning; Online learning; Batch learning; Curriculum learning; Rule-based learning; Neuro-symbolic AI; Neuromorphic engineering; Quantum machine learning

  8. Round-off error - Wikipedia

    en.wikipedia.org/wiki/Round-off_error

    In computing, a roundoff error, [1] also called rounding error, [2] is the difference between the result produced by a given algorithm using exact arithmetic and the result produced by the same algorithm using finite-precision, rounded arithmetic. [3]

  9. Errorless learning - Wikipedia

    en.wikipedia.org/wiki/Errorless_learning

    The errorless learning procedure is highly effective in reducing the number of responses to the S− during training. In Terrace's (1963) experiment, subjects trained with the conventional discrimination procedure averaged over 3000 S− (errors) responses during 28 sessions of training; whereas subjects trained with the errorless procedure averaged only 25 S− (errors) responses in the same ...