Results 21 to 30 of about 9,304,881 (366)

Explaining neural scaling laws [PDF]

open access: yesProceedings of the National Academy of Sciences of the United States of America, 2021
Significance The population loss of trained deep neural networks has been empirically observed to improve as a power law in a variety of large models and datasets. We investigate the origins behind such “scaling laws” and provide a taxonomy for different
Yasaman Bahri   +4 more
semanticscholar   +1 more source

Anti-scaling performances of different aged landfill leachates on PPR and ABS pipe materials

open access: yesWater Science and Technology, 2023
Landfill leachate, because of its complex components, may cause pipe clogging during its collection and transportation, and pose a threat to the environment.
Rui Zhao   +4 more
doaj   +1 more source

Is this scaling nonlinear? [PDF]

open access: yesRoyal Society Open Science, 2016
One of the most celebrated findings in complex systems in the last decade is that different indexes y (e.g. patents) scale nonlinearly with the population x of the cities in which they appear, i.e. y ∼ x β
J. C. Leitão   +3 more
openaire   +8 more sources

India’s RMNCH+A Strategy: approach, learnings and limitations

open access: yesBMJ Global Health, 2019
Building on the gains of the National Health Mission, India’s Reproductive, Maternal, Newborn, Child and Adolescent Health (RMNCH+A) Strategy, launched in 2013, was a milestone in the country’s health planning. The strategy recognised the interdependence
Gunjan Taneja   +8 more
doaj   +1 more source

Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays [PDF]

open access: yesIEEE Signal Processing Magazine, 2012
Multiple-input multiple-output (MIMO) technology is maturing and is being incorporated into emerging wireless broadband standards like long-term evolution (LTE) [1].
F. Rusek   +6 more
semanticscholar   +1 more source

Scaled-YOLOv4: Scaling Cross Stage Partial Network [PDF]

open access: yesComputer Vision and Pattern Recognition, 2020
We show that the YOLOv4 object detection neural network based on the CSP approach, scales both up and down and is applicable to small and large networks while maintaining optimal speed and accuracy. We propose a network scaling approach that modifies not
Chien-Yao Wang   +2 more
semanticscholar   +1 more source

Transform Ranking: a New Method of Fitness Scaling in Genetic Algorithms [PDF]

open access: yes, 2008
The first systematic evaluation of the effects of six existing forms of fitness scaling in genetic algorithms is presented alongside a new method called transform ranking.
A. O. Griewank, L. Nolle, V. Kreinovich
core   +2 more sources

Rural to Urban Population Density Scaling of Crime and Property Transactions in English and Welsh Parliamentary Constituencies [PDF]

open access: yes, 2016
Urban population scaling of resource use, creativity metrics, and human behaviors has been widely studied. These studies have not looked in detail at the full range of human environments which represent a continuum from the most rural to heavily urban ...
Hanley, QS, Lewis, D, Ribeiro, HV
core   +4 more sources

Large lattice distortions and size-dependent bandgap modulation in epitaxial halide perovskite nanowires

open access: yesNature Communications, 2020
Metal-halide perovskites are promising photovoltaic materials, but fundamental questions remain open due to their structural complexity. Here the authors show, by correlated microscopy and spectroscopy methods, that epitaxially induced lattice ...
Eitan Oksenberg   +7 more
doaj   +1 more source

Analyses of natural courses of Japanese patients with Alzheimer's disease using placebo data from placebo‐controlled, randomized clinical trials: Japanese Study on the Estimation of Clinical course of Alzheimer's disease

open access: yesAlzheimer’s & Dementia: Translational Research & Clinical Interventions, 2019
Introduction Symptomatic anti‐Alzheimer's disease (AD) drugs have been commonly used for the treatment of AD. Knowing the natural courses of patients with AD on placebo is highly relevant for clinicians to understand their efficacy and for investigators ...
Mitsunori Watanabe   +15 more
doaj   +1 more source

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