Gradient-based learning applied to document recognition
Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based learning technique. Given an appropriate networ...
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2,237 publications
Particle swarm optimization
The base isolation design usually used the historical well-known earthquake records as an input ground motion. Through the adjustment on each variables of the structure system, ...
Densely Connected Convolutional Networks
Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to ...
Nonparametric Estimation from Incomplete Observations
Abstract In lifetesting, medical follow-up, and other fields the observation of the time of occurrence of the event of interest (called a death) may be prevented for some of the...
The M06 suite of density functionals for main group thermochemistry, thermochemical kinetics, noncovalent interactions, excited states, and transition elements: two new functionals and systematic testing of four M06-class functionals and 12 other functionals
We present two new hybrid meta exchange- correlation functionals, called M06 and M06-2X. The M06 functional is parametrized including both transition metals and nonmetals, where...
Handbook of Qualitative Research
Introduction - Norman K Denzin and Yvonna S Lincoln The Discipline and Practice of Qualitative Research PART ONE: LOCATING THE FIELD Qualitative Methods - Arthur J Vidich and St...
A New Equation to Estimate Glomerular Filtration Rate
National Institute of Diabetes and Digestive and Kidney Diseases.
Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal
Kenya one of the African countries has pledged to reduce neonatal death as per the 2030 World Health Organization target. Providing high-quality newborn care is critical in mini...
A tutorial on hidden Markov models and selected applications in speech recognition
This tutorial provides an overview of the basic theory of hidden Markov models (HMMs) as originated by L.E. Baum and T. Petrie (1966) and gives practical details on methods of i...