Results 41 to 50 of about 550,063 (331)
Are Two Opposite Points Better Than One?
IEEE Access, 2019 Various opposition-based learning (OBL) strategies were proposed to further improve solution quality since 2005. However, in all existing OBLs, only one opposite point is generated for a given candidate solution in population.
Na Wang +4 more
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A quantitative taxonomy of human hand grasps [PDF]
, 2019 Background: A proper modeling of human grasping and of hand movements is fundamental for robotics, prosthetics, physiology and rehabilitation. The taxonomies of hand grasps that have been proposed in scientific literature so far are based on qualitative ...
Atzori, Manfredo +5 more
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Creativity and Conflict: How theory and practice shape student identities in design education [PDF]
, 2009 By exploring the role of student identities in shaping attitudes to learning, this study asks how design students draw on experience to work across theory and practice.
New, Christopher, Tynan, Jane
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An Improved Grey Prediction Evolution Algorithm Based on Topological Opposition-Based Learning
IEEE Access, 2020 The grey prediction evolution algorithm based on the even grey model (GPEAe) proposed by Z.B.Hu et al. in 2019 is a competitively stochastic real-parameter optimization algorithm with characters of simple code, less parameters and strong exploration ...
Canyun Dai +4 more
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AIP Advances, 2023 A novel optimization method, namely, the elite opposition learning and polynomial steps-based sunflower optimization (EOPSFO) algorithm, has been proposed to solve engineering problems. To speed up the convergence, the elite opposition-based learning and
Liye Lv, Yongliang Yuan
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Opposition-Based Reinforcement Learning
Journal of Advanced Computational Intelligence and Intelligent Informatics, 2006 Reinforcement learning is a machine intelligence scheme for learning in highly dynamic, probabilistic environments. By interaction with the environment, reinforcement agents learn optimal control policies, especially in the absence of a priori knowledge and/or a sufficiently large amount of training data.
openaire +1 more source
Learning Opposites with Evolving Rules
, 2015 The idea of opposition-based learning was introduced 10 years ago. Since then a noteworthy group of researchers has used some notions of oppositeness to improve existing optimization and learning algorithms.
Rahnamayan, Shahryar, Tizhoosh, Hamid R.
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The invention of facts: Bentham’s ethics and the education of public taste [PDF]
, 2011 This article uses Jeremy Bentham’s comments on taste and ethics to analyse the efforts of ‘Philosophical Radical’ members of the Select Committee on Arts and Manufactures of 1835/6, including Bentham’s executor and editor John Bowring, to apply ...
Quinn, Malcolm
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Investigating changing work and economic cultures through the lens of youth employment : a case study from a psychosocial perspective in Italy [PDF]
, 2020 Changes in the forms and cultural meanings of work have gone deep during the last decades, with the transient nature of work becoming the norm rather than the exception.
Bucci, Fiorella, Vanheule, Stijn
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Learning preferences from paired opposite-based semantics
International Journal of Approximate Reasoning, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Camilo Franco +2 more
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