Global ETD Search

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Showing 1 to 5 of 5 for “"learn to learn"”.

  1. If We Could Learn to Learn from Pain: A Contemporary Literary Ethics of Women's Suffering and Self-Sacrifice

    … in literature and theory from 1950 to the present, highlighting the concern with suffering in numerous women writers' texts as well as the way several contemporary discussions of ethics--including feminisms, theologies, and poststructuralist theory--crystallize around redemptive …

    loyola-thes Repository record for If We Could Learn to Learn from Pain: A Contemporary Literary Ethics of Women's Suffering and Self-Sacrifice (opens in a new tab)

  2. Task Localization, Similarity, and Transfer; Towards a Reinforcement Learning Task Library System

    … transfer for eventual use in a reinforcement learning task library system, which can effectively “learn to learn,” improving its performance as it encounters various tasks over the lifetime of the learning system.</p>

    byu Repository record for Task Localization, Similarity, and Transfer; Towards a Reinforcement Learning Task Library System (opens in a new tab)

  3. Conceptualising an epistemology of praxis for teaching research in Information Systems

    … with the perennial question of ‘how lecturers learn to teach’ and ‘students learn to learn’, through engaging with the development of one lecturer in the process of learning how to teach undergraduate students to do research in Information Systems at a Higher Education Institution in South …

    cape-town Repository record for Conceptualising an epistemology of praxis for teaching research in Information Systems (opens in a new tab)

  4. Towards more human-like concept learning in machines : compositionality, causality, and learning-to-learn

    People can learn a new concept almost perfectly from just a single example, yet machine learning algorithms typically require hundreds or thousands of examples to perform similarly. People can also use their learned concepts in richer ways than conventional machine learning systems - for action, …

    mit Repository record for Towards more human-like concept learning in machines : compositionality, causality, and learning-to-learn (opens in a new tab)