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Learning Theory in the Arithmetic Hierarchy [PDF]
Journal of Symbolic Logic, 2014 AbstractWe consider the arithmetic complexity of index sets of uniformly computably enumerable families learnable under different learning criteria. We determine the exact complexity of these sets for the standard notions of finite learning, learning in the limit, behaviorally correct learning and anomalous learning in the limit.
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Learning by Discovering Concept Hierarchies
Artificial Intelligence, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Blaž Zupan, Marko Bohanec
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Learning cortical hierarchies with temporal Hebbian updates
Frontiers in Computational Neuroscience, 2023 A key driver of mammalian intelligence is the ability to represent incoming sensory information across multiple abstraction levels. For example, in the visual ventral stream, incoming signals are first represented as low-level edge filters and then ...
Pau Vilimelis Aceituno +5 more
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Journal of Childhood Studies, 2021 This paper critically unpacks the racialized and gendered hierarchies between the co-teaching model of early childhood educators (ECEs) and Ontario certified teachers (OCTs) in full-day kindergarten (FDK), and how such positionalities speak to racial ...
Zuhra Abawi
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Journal of Advances in Modeling Earth Systems, 2023 The climate model hierarchy encompasses models of varying complexity along different axes, ranging from idealized models that elegantly describe isolated mechanisms to fully coupled Earth system models that aspire to provide useable climate projections ...
Laura A. Mansfield +5 more
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Reverse hierarchies and sensory learning [PDF]
Philosophical Transactions of the Royal Society B: Biological Sciences, 2008 Revealing the relationships between perceptual representations in the brain and mechanisms of adult perceptual learning is of great importance, potentially leading to significantly improved training techniques both for improving skills in the general population and for ameliorating deficits in special populations.
Merav, Ahissar +3 more
openaire +2 more sources
Using Domain Knowledge for Interpretable and Competitive Multi-Class Human Activity Recognition
Sensors, 2020 Human activity recognition (HAR) has become an increasingly popular application of machine learning across a range of domains. Typically the HAR task that a machine learning algorithm is trained for requires separating multiple activities such as walking,
Sebastian Scheurer +3 more
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IEEE Access, 2023 The usage of distributed Peer-to-Peer (P2P) networks has been growing steadily for a reasonable period. Various applications rely on the infrastructure of P2P networks, where nodes communicate to accomplish a task without the need for a central authority.
Arafat Abu Mallouh +3 more
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IEEE Access, 2020 Hybrid active power filter (HAPF) has been widely used to suppress harmonics in the electric power system. However, selecting HAPF parameters accurately remains a primary challenge faced by researchers. To optimize HAPF parameters and reduce the harmonic
Zhiling Cui +4 more
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Repowering Intellectual Life. bell hooks and the Critique of Racial Education
USAbroad, 2023 For bell hooks, the relationship between teaching and learning is historical. What the academy is from the perspective of a concept of knowledge that is historically located within differences of race, class and gender, what hierarchies it reaffirms and ...
Roberta Ferrari
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