Results 121 to 130 of about 293,454 (315)
Compressing Search with Language Models
CoRRMillions of people turn to Google Search each day for information on things as diverse as new cars or flu symptoms. The terms that they enter contain valuable information on their daily intent and activities, but the information in these search terms has been difficult to fully leverage. User-defined categorical filters have been the most common way to
Thomas Mulc, Jennifer L. Steele
openaire +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Accessing brain magnetic resonance imaging (MRI) can be challenging, especially for underserved patients, which may lead to disparities in neurological diagnosis. Method This mixed‐methods study enrolled adults with one of four neurological disorders: mild cognitive impairment or dementia of the Alzheimer type, multiple sclerosis ...
Maya L. Mastick +19 more
wiley +1 more source
The compression of deaths above the mode [PDF]
Kannisto (2001) has shown that as the frequency distribution of ages at death has shifted to the right, the age distribution of deaths above the modal age has become more compressed.
Shiro Horiuchi +3 more
core
Multi-Faceted Adaptive Token Pruning for Efficient Remote Sensing Image Segmentation
Remote SensingGlobal context information is essential for semantic segmentation of remote sensing (RS) images. Due to their remarkable capability to capture global context information and model long-range dependencies, vision transformers have demonstrated great ...
Chuge Zhang, Jian Yao
doaj +1 more source
HMC: Hybrid model compression method based on layer sensitivity grouping. [PDF]
PLoS One, 2023 Yang G, Yu S, Yang H, Nie Z, Wang J.
europepmc +1 more source
Developmental and Epileptic Encephalopathy due to Biallelic Pathogenic Variants in PIGM
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective PIGM encodes a critical enzyme in the glycosylphosphatidylinositol (GPI)‐anchor biosynthesis pathway. While promoter‐region mutations in PIGM have been associated with a relatively mild phenotype characterized by portal vein thrombosis and absence seizures, recent evidence suggests that coding‐region mutations result in a more severe
Júlia Sala‐Coromina +11 more
wiley +1 more source
Pattern-oriented algorithmic complexity: towards compression-based information retrieval
, 2010 The assimilation of informational content to computational complexity is more than 50 years old, but a way of exploiting practically this idea came only recently with the definition of compression-based similarity measures, which estimate the amount of ...
Cerra, Daniele
core
Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning
IEEE AccessWhile Convolutional Neural Networks (CNNs) excel at learning complex latent-space representations, their over-parameterization can lead to overfitting and reduced performance, particularly with limited data.
Manish Sharma +3 more
doaj +1 more source
LAD: Layer-Wise Adaptive Distillation for BERT Model Compression. [PDF]
Sensors (Basel), 2023 Lin YJ, Chen KY, Kao HY.
europepmc +1 more source
Cracking the Code: Genotype–Phenotype Correlation Models in Sarcoglycanopathies
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Sarcoglycanopathies are among the most severe limb‐girdle muscular dystrophies (LGMD), though milder presentations have been described. These diseases are primarily caused by missense variants, but the limited predictability of their effect on protein maturation, complex formation, and transport has hindered reliable genotype ...
Leonela Luce +72 more
wiley +1 more source