Results 21 to 30 of about 22,440 (261)
Machine Learning Algorithms: An Experimental Evaluation for Decision Support Systems
Algorithms, 2022 Decision support systems with machine learning can help organizations improve operations and lower costs with more precision and efficiency. This work presents a review of state-of-the-art machine learning algorithms for binary classification and makes a
Hugo Silva, Jorge Bernardino
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A Hierarchy of Limitations in Machine Learning
CoRR, 2020 "All models are wrong, but some are useful", wrote George E. P. Box (1979). Machine learning has focused on the usefulness of probability models for prediction in social systems, but is only now coming to grips with the ways in which these models are wrong---and the consequences of those shortcomings.
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Occupy Museums as Public Pedagogy and Justice Work
Journal of Curriculum Theorizing, 2013 For Occupy Museums, the mainstream art museum is an informal learning space, in which social, cultural and economic hierarchies are perpetuated by powerful individuals and corporations and absorbed by the public.
Tal Berry +3 more
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JPBI (Jurnal Pendidikan Biologi Indonesia), 2023 One of the learning outcomes of learning Animal Embryology and Reproduction is that students can explain concepts about reproduction or embryology theory.
Eko Susetyarini +3 more
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Journal of Learning Development in Higher Education, 2023 This case study article reports on the reflections of the authors who were part of a staff-student collaborative scholarship project investigating the learning experiences of Black distance-learning students. Although there is a growing body of research
Shannon Martin, Jim Lusted
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Learning Invariant Feature Hierarchies [PDF]
, 2012 Fast visual recognition in the mammalian cortex seems to be a hierarchical process by which the representation of the visual world is transformed in multiple stages from low-level retinotopic features to high-level, global and invariant features, and to object categories. Every single step in this hierarchy seems to be subject to learning. How does the
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Unsupervised Learning of Visual Feature Hierarchies [PDF]
, 2005 We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method combines these primitives into high-level abstractions. Our appearance-based learning method uses local statistical analysis between features and Expectation-Maximization to ...
Fabien Scalzo, Justus H. Piater
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Peningkatan Kualitas Pengajaran Matematika Pada Tingkat Pendidikan Menengah
Jurnal Ilmu Pendidikan, 2016 The achievements in the studies of mathematics at the junior and senior secondary schools in Ujung Pandang is quite low. It seems that the teaching of mathematics at those schools do not meet the requirement of proper mathematics teaching.
H. Djaali
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Studies in Engineering Education, 2023 Background: Prior research has demonstrated that participation in authentic learning experiences that resemble real-world engineering practice is key to unlocking the benefits of collaborative projects, such as design projects, for students in ...
Trevion Shamir Henderson
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Evolution, Development and Learning — a Nested Hierarchy? [PDF]
, 2001 The Dynamical Hypothesis 22 is gathering force within cognitive science and within biology. Evolutionary, developmental and learning processes can all be characterised by the DH and any models should try to account for this property. The processes differ in terms of their operational time-scale and the resources each has to hand.
T. E. Dickins, J. P. Levy
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