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Learning to Learn Causal Models [PDF]

open access: yesCognitive Science, 2010
AbstractLearning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical Bayesian framework that helps to explain how learning about several causal systems can accelerate learning about systems that are subsequently encountered.
Charles, Kemp   +2 more
openaire   +2 more sources

Designing an OER Production Pattern for the E-Learning System of university of Tehran [PDF]

open access: yesتحقیقات کتابداری و اطلاع‌رسانی دانشگاهی, 2021
Objectives: The purpose of the research was conducted to design a model for producing open educational resources (OER) for the virtual education system of University of Tehran.Methodology: The research method of this study was a survey. A researcher-made
Isa Noruzyoun   +2 more
doaj   +1 more source

MAP4K4/JNK Signaling Pathway Stimulates Proliferation and Suppresses Apoptosis of Human Spermatogonial Stem Cells and Lower Level of MAP4K4 Is Associated with Male Infertility

open access: yesCells, 2022
Spermatogonial stem cells (SSCs) serve as a foundation for spermatogenesis and they are essential for male fertility. The fate of SSC is determined by genetic and epigenetic regulatory networks.
Cailin Wan   +3 more
doaj   +1 more source

Learning Analytics for Networked Learning Models [PDF]

open access: yesJournal of Learning Analytics, 2014
Teaching and learning in networked setting has attained a significant amount of attention recently. The central topic of networked learning research is human-human and human-information interactions that occur within a networked learning environment. The nature of these interactions is highly complex and usually requires a multi-dimensional approach in
Joksimovic, Srecko   +2 more
openaire   +4 more sources

A Temporal Activity of CA1 Neurons Underlying Short-Term Memory for Social Recognition Altered in PTEN Mouse Models of Autism Spectrum Disorder

open access: yesFrontiers in Cellular Neuroscience, 2021
Memory-guided social recognition identifies someone from previous encounters or experiences, but the mechanisms of social memory remain unclear. Here, we find that a short-term memory from experiencing a stranger mouse lasting under 30 min interval is ...
An-Ping Chai   +18 more
doaj   +1 more source

Diagnosis and Management Pattern of Lateral Epicondylitis in a Tertiary Care Center

open access: yesJournal of Nepal Medical Association, 2015
Introduction: Lateral Epicondylitis has been found to be the second most frequently diagnosed musculoskeletal disorder. A wide range of symptomatic treatments are available such as use of anti-inflammatory analgesic drugs, steroids, physiotherapy.
Sita Dhakal   +4 more
doaj   +3 more sources

Robust detection of marine life with label-free image feature learning and probability calibration

open access: yesMachine Learning: Science and Technology, 2023
Advances in in situ marine life imaging have significantly increased the size and quality of available datasets, but automatic image analysis has not kept pace.
Tobias Schanz   +3 more
doaj   +1 more source

Time of Day-Dependent Alteration of Hippocampal Rac1 Activation Regulates Contextual Fear Memory in Rats

open access: yesFrontiers in Molecular Neuroscience, 2022
Fear memory in species varies according to the time of the day. Although the underlying molecular mechanisms have been extensively explored, they remain largely unknown.
Lizhu Jiang   +15 more
doaj   +1 more source

GPx3 knockdown inhibits the proliferation and DNA synthesis and enhances the early apoptosis of human spermatogonial stem cells via mediating CXCL10 and cyclin B1

open access: yesFrontiers in Cell and Developmental Biology, 2023
Spermatogenesis is regulated by genetic and epigenetic factors. However, the genes and signaling pathways mediating human spermatogenesis remain largely unknown.
Si Wu   +5 more
doaj   +1 more source

Model-Based Deep Learning

open access: yesFoundations and Trends® in Signal Processing, 2023
Signal processing traditionally relies on classical statistical modeling techniques. Such model-based methods utilize mathematical formulations that represent the underlying physics, prior information and additional domain knowledge. Simple classical models are useful but sensitive to inaccuracies and may lead to poor performance when real systems ...
Shlezinger, Nir, Eldar, Yonina C.
openaire   +3 more sources

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