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Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies [PDF]
, 2009 A systematic search of the research literature from 1996 through July 2008 identified more than a thousand empirical studies of online learning. Analysts screened these studies to find those that (a) contrasted an online to a face-to-face condition, (b ...
Toyama, Yuki +4 more
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Meta-learning by the Baldwin effect [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018 The scope of the Baldwin effect was recently called into question by two papers that closely examined the seminal work of Hinton and Nowlan. To this date there has been no demonstration of its necessity in empirically challenging tasks. Here we show that the Baldwin effect is capable of evolving few-shot supervised and reinforcement learning mechanisms,
Chrisantha Fernando +8 more
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CoRR, 2022 In the literature on game-theoretic equilibrium finding, focus has mainly been on solving a single game in isolation. In practice, however, strategic interactions -- ranging from routing problems to online advertising auctions -- evolve dynamically, thereby leading to many similar games to be solved.
Keegan Harris +5 more
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Meta-Learning to Compositionally Generalize [PDF]
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021 ACL2021 Camera Ready; fix a small ...
Conklin, H. +3 more
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Pairwise meta-rules for better meta-learning-based algorithm ranking [PDF]
, 2013 In this paper, we present a novel meta-feature generation method in the context of meta-learning, which is based on rules that compare the performance of individual base learners in a one-against-one manner.
Pfahringer, Bernhard, Sun, Quan
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Hierarchical meta-rules for scalable meta-learning [PDF]
, 2014 The Pairwise Meta-Rules (PMR) method proposed in [18] has been shown to improve the predictive performances of several metalearning algorithms for the algorithm ranking problem.
Quan Sun +20 more
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CoRR, 2020 In this paper, we introduce a discrete variant of the meta-learning framework. Meta-learning aims at exploiting prior experience and data to improve performance on future tasks. By now, there exist numerous formulations for meta-learning in the continuous domain.
Arman Adibi +2 more
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Meta-QSAR: a large-scale application of meta-learning to drug design and discovery. [PDF]
, 2017 We investigate the learning of quantitative structure activity relationships (QSARs) as a case-study of meta-learning. This application area is of the highest societal importance, as it is a key step in the development of new medicines. The standard QSAR
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Developing individuals for developing learning based systems [PDF]
, 2005 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.This research is concerned with investigating the externalisation, sharing and making tangible of tacit knowledge in the context of organisational learning (
Selamat, Mohamad
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