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  2. Transfer learning - Wikipedia

    en.wikipedia.org/wiki/Transfer_learning

    Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task. For example, for image classification , knowledge gained while learning to recognize cars could be applied when trying to recognize trucks.

  3. Transfer of learning - Wikipedia

    en.wikipedia.org/wiki/Transfer_of_learning

    Transfer of learning. Transfer of learning occurs when people apply information, strategies, and skills they have learned to a new situation or context. Transfer is not a discrete activity, but is rather an integral part of the learning process. Researchers attempt to identify when and how transfer occurs and to offer strategies to improve ...

  4. Learning theory (education) - Wikipedia

    en.wikipedia.org/wiki/Learning_theory_(education)

    Transfer of learning. Transfer of learning is the idea that what one learns in school somehow carries over to situations different from that particular time and that particular setting. Transfer was amongst the first phenomena tested in educational psychology. Edward Lee Thorndike was a pioneer in transfer research.

  5. Knowledge transfer - Wikipedia

    en.wikipedia.org/wiki/Knowledge_transfer

    Knowledge transfer refers to transferring an awareness of facts or practical skills from one entity to another. The particular profile of transfer processes activated for a given situation depends on (a) the type of knowledge to be transferred and how it is represented (the source and recipient relationship with this knowledge) and (b) the processing demands of the transfer task.

  6. Domain adaptation - Wikipedia

    en.wikipedia.org/wiki/Domain_Adaptation

    Domain adaptation is the ability to apply an algorithm trained in one or more "source domains" to a different (but related) "target domain". Domain adaptation is a subcategory of transfer learning. In domain adaptation, the source and target domains all have the same feature space (but different distributions); in contrast, transfer learning ...

  7. Transfer of training - Wikipedia

    en.wikipedia.org/wiki/Transfer_of_training

    Theoretically, transfer of training is a specific application of the theory of transfer of learning that describes the positive, zero, or negative performance outcomes of a training program. [2] The positive transfer of training-- the increase in job performance attributed to training-- has become the goal of many organizations.

  8. Learning - Wikipedia

    en.wikipedia.org/wiki/Learning

    e. Learning is the process of acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. [1] The ability to learn is possessed by humans, non-human animals, and some machines; there is also evidence for some kind of learning in certain plants. [2] Some learning is immediate, induced by a single event (e.g ...

  9. Negative transfer (memory) - Wikipedia

    en.wikipedia.org/wiki/Negative_transfer_(memory)

    Luckily, while negative transfer is a real and often problematic phenomenon of learning, it is of much less concern to education than positive transfer. Negative transfer typically causes trouble only in the early stages of learning a new domain. With experience, learners correct for the effects of negative transfer. See also