Results 121 to 130 of about 12,455,841 (338)
Active learning aims at obtaining high-accuracy models with as a few labeled data as possible, by iteratively and elaborately selecting most valuable data to query labels during the learning process, thereby the cost of labeling data can be reduced. Most
Pengcheng Shen +2 more
doaj +1 more source
ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin +12 more
wiley +1 more source
fNIRS cortical activation in Tai Chi observational learning
IntroductionObservational learning plays a critical role in motor skill acquisition. Investigating the neural substrates involved in this process is of great significance for optimizing teaching methodologies and advancing brain-computer interface ...
Shenglai Yang, Shumei He, Bing Shi
doaj +1 more source
Asynchronous Active Learning with Distributed Label Querying [PDF]
Sheng-Jun Huang +3 more
openalex +1 more source
Active Learning and Best-Response Dynamics [PDF]
We examine an important setting for engineered systems in which low-power distributed sensors are each making highly noisy measurements of some unknown target function.
Balcan, Maria-Florina +5 more
core
ABSTRACT Introduction Neuronal pentraxin 2 (NPTX2) is a synaptic protein involved in synaptic plasticity and regulation of neuronal excitability. Lower baseline cerebrospinal fluid (CSF) NPTX2 levels have been shown to be associated with an earlier onset of mild cognitive impairment (MCI), a pre‐dementia syndrome, even after CSF Alzheimer's Disease (AD)
Juan P. Vazquez +12 more
wiley +1 more source
Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong +7 more
wiley +1 more source
IntroductionThe relationship between intervention engagement and behaviour change may vary depending on the specific engagement metric being examined. To counter this composite engagement measures may provide a deeper understanding of the relationship ...
Corneel Vandelanotte +9 more
doaj +1 more source
Higher Amyloid and Tau Burden Is Associated With Faster Decline on a Digital Cognitive Test
ABSTRACT Objective A 2‐min digital clock‐drawing test (DCTclock) captures more granular features of the clock‐drawing process than the pencil‐and‐paper clock‐drawing test, revealing more subtle deficits at the preclinical stage of Alzheimer's disease (AD). A previous cross‐sectional study demonstrated that worse DCTclock performance was associated with
Jessie Fanglu Fu +16 more
wiley +1 more source
Engaging Students' Learning Through Active Learning
This paper discusses a project carried out with thirty six final year undergraduate students, studying the Bachelor of Science in Business and Management and taking the module Small Business Management during the academic year 2012 and 2013 in Dublin ...
Margaret Fitzsimons
doaj +1 more source

