Results 41 to 50 of about 13,500,401 (341)
Overtraining Strengthens the Visual Discrimination Memory Trace Outside the Hippocampus in Male Rats
Frontiers in Behavioral Neuroscience, 2021 The hippocampus (HPC) may compete with other memory systems when establishing a representation, a process termed overshadowing. However, this overshadowing may be mitigated by repeated learning episodes, making a memory resistant to post-training ...
Hugo Lehmann +2 more
doaj +1 more source
Reliable Real‐Time Seismic Signal/Noise Discrimination With Machine Learning [PDF]
Journal of Geophysical Research - Solid Earth, 2019 In earthquake early warning (EEW), every sufficiently impulsive signal is potentially the first evidence for an unfolding large earthquake. More often than not, however, impulsive signals are mere nuisance signals.
M. Meier +9 more
semanticscholar +1 more source
Classification of Dead Cocoons Using Convolutional Neural Networks and Machine Learning Methods
IEEE Access, 2023 Image recognition methods classify or categorize objects by extracting significant properties from digital images of the objects and are used in the field of agriculture for quality determination.
Ahyeong Lee +4 more
doaj +1 more source
Neurobiology of Aging, 2017 Emerging evidence suggests that aging is associated with a reduced ability to distinguish perceptually similar stimuli in one’s environment. As the ability to accurately perceive and encode sensory information is foundational for explicit memory ...
Wendy M. Yoder +5 more
semanticscholar +1 more source
Discriminative Active Learning
CoRR, 2019 11 pages, 3 ...
Daniel Gissin, Shai Shalev-Shwartz
openaire +3 more sources
Using giant african pouched rats to detect human tuberculosis: a review
The Pan African Medical Journal, 2015 Despite its characteristically low sensitivity, sputum smear microscopy remains the standard for diagnosing tuberculosis (TB) in resource-poor countries. In an attempt to develop an alternative or adjunct to microscopy, researchers have recently examined
Alan Poling +6 more
doaj +1 more source
Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI [PDF]
Computer Law and Security Review, 2020 In recent years a substantial literature has emerged concerning bias, discrimination, and fairness in AI and machine learning. Connecting this work to existing legal non-discrimination frameworks is essential to create tools and methods that are ...
Sandra Wachter +2 more
semanticscholar +1 more source
Aging effects on discrimination learning, logical reasoning and memory in pet dogs
AGE, 2016 In laboratory dogs, aging leads to a decline in various cognitive domains such as learning, memory and behavioural flexibility. However, much less is known about aging in pet dogs, i.e.
L. Wallis +5 more
semanticscholar +1 more source
Symmetry and discrimination learning
Acta Psychologica, 1974 Abstract A hypothesis that the difficulties which subjects encounter whilst engaged in a traditional discrimination learning task may be seen as influenced by symmetry of individual stimuli as well as of arrangements of stimuli was examined. The data obtained as well as published data are interpreted as suggesting that the nature of symmetry of an ...
J B, Deregowski, D, Ellis
openaire +2 more sources
Correlation Tracking via Joint Discrimination and Reliability Learning [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 For visual tracking, an ideal filter learned by the correlation filter (CF) method should take both discrimination and reliability information. However, existing attempts usually focus on the former one while pay less attention to reliability learning ...
Chong Sun +3 more
semanticscholar +1 more source