Results 231 to 240 of about 969,371 (282)

Humanlike computational learning theory. A computational semiotics perspective

AFRICON 2009, 2009
Focussing on the development of smart interfaces for smart environments one has to meet the challenge that these interfaces need a kind of intelligence which resembles human intelligence sufficiently. Part of this humanlike intelligence is the ability to learn from an environment those properties which are relevant for human persons and to be able to ...
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Efficient reinforcement learning: computational theories, neuroscience and robotics

Current Opinion in Neurobiology, 2007
Reinforcement learning algorithms have provided some of the most influential computational theories for behavioral learning that depends on reward and penalty. After briefly reviewing supporting experimental data, this paper tackles three difficult theoretical issues that remain to be explored. First, plain reinforcement learning is much too slow to be
Mitsuo, Kawato, Kazuyuki, Samejima
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Learning Theory and Computer Environments

2005
This entry is a brief survey of the learning-theory field as it relates to educational technology, primarily focused on behavioral and constructivist educational theorists. According to some scholars, both have praised technology and perhaps exaggerated its promise (Berg, 2002; Duffy & Jonassen, 1994).
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Confident Iterative Learning in Computational Learning Theory

2017
Let us assume that we have a class of sets. Now, if we have a machine that, fed information on one of these sets, tells us which set the information belonged to, then the machine underwent some sort of learning. This act of learning can happen in various forms.
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Investigating models of computational learning theory

2008 IEEE International Multitopic Conference, 2008
This paper presents some of the important models (frameworks) in computational learning theory such as learning in the limit, learning from queries and entailment and probably approximately correct learning.
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Learning Theories in Computer Science Education

2009 Sixth International Conference on Information Technology: New Generations, 2009
College instruction may be primarily concerned in most cases with the content of their academic lessons, and not very much with their instructional delivery. However, the effective application of learning theories in higher education has an impact on student performance.
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Computational Learning Theory

2022
Issam El Naqa, Jen-Tzung Chien
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Towards an Atlas of Computational Learning Theory

Symposium on Theoretical Aspects of Computer Science, 2016
Timo Kötzing, Martin Schirneck
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Computational theories of learning

This research paper, authored by Disha (2025), introduces a novel theoretical framework titled Computational Theories of Learning, which seeks to unify cognitive science, artificial intelligence, and mathematical computation into a coherent understanding of how learning emerges, evolves, and self-optimizes within dynamic environments.
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A Computational Learning Theory of Active Object Recognition Under Uncertainty

International Journal of Computer Vision, 2012
Alexander Andreopoulos, John K. Tsotsos
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