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MathematicsMachine learning has become indispensable across various domains, yet understanding its theoretical underpinnings remains challenging for many practitioners and researchers.
Ke-Lin Du +4 more
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A computational theory for the learning of equivalence relations [PDF]
Frontiers in Human Neuroscience, 2011 Equivalence relations are logical entities that emerge concurrently with the development of language capabilities.In this work we propose a computational model that learns to build equivalence relations by learning simple conditional rules.
Sergio E Lew +2 more
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Towards an Atlas of Computational Learning Theory. [PDF]
, 2016 A major part of our knowledge about Computational Learning stems from comparisons of the learning power of different learning criteria. These comparisons inform about trade-offs between learning restrictions and, more generally, learning settings; furthermore, they inform about what restrictions can be observed without losing learning power.
Timo Kötzing, Martin Schirneck
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Social learning through associative processes: a computational theory [PDF]
Royal Society Open Science, 2019 Social transmission of information is a key phenomenon in the evolution of behaviour and in the establishment of traditions and culture. The diversity of social learning phenomena has engendered a diverse terminology and numerous ideas about underlying ...
Johan Lind +2 more
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Computational machine learning in theory and praxis
, 1995 In the last few decades a computational approach to machine learning has emerged based on paradigms from recursion theory and the theory of computation. Such ideas include learning in the limit, learning by enumeration, and probably approximately correct (pac) learning. These models usually are not suitable in practical situations.
Li, M., Vitanyi, P.M.B.
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Sensors, 2021 The unique features of millimeter waves (mmWaves) motivate its leveraging to future, beyond-fifth-generation/sixth-generation (B5G/6G)-based device-to-device (D2D) communications.
Sherief Hashima +3 more
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Cost-Effective MAB Approaches for Reconfigurable Intelligent Surface Aided Millimeter Wave Relaying
IEEE Access, 2022 Recently, reconfigurable intelligent surface (RIS) relaying is suggested as a talented technology for extending the millimeter wave (mmWave) coverage. However, finding out the best RIS relay to maximize the achievable data rate is a too time-consuming ...
Ehab Mahmoud Mohamed +3 more
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Sensors, 2022 A reconfigurable intelligent surface (RIS) is a promising technology that can extend short-range millimeter wave (mmWave) communications coverage. However, phase shifts (PSs) of both mmWave transmitter (TX) and RIS antenna elements need to be optimally ...
Ehab Mahmoud Mohamed +3 more
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Load Balancing Multi-Player MAB Approaches for RIS-Aided mmWave User Association
IEEE Access, 2023 In this paper, multiple reconfigurable intelligent surface (RIS) boards are deployed to enhance millimeter wave (mmWave) communication in a harsh blockage environment, where mmWave line-of-sight (LoS) link is completely blocked.
Ehab Mahmoud Mohamed +4 more
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A computational theory of motor learning [PDF]
Computational Intelligence, 1987 In this paper we present a computational theory of human motor performance and learning. The theory is implemented as a running AI system called MAGGIE. Given a description of a desired movement as input, the system generates simulated motor behavior as output.
Iba, Wayne, Langley, Pat
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