Results 111 to 120 of about 1,182 (205)

Training feed-forward neural networks using the gradient descent method with the optimal stepsize [Elektronisk resurs] [PDF]

open access: yes, 2012
The most widely used algorithm for training multiplayer feedforward networks, Error BackPropagation (EBP), is an iterative gradient descend algorithm by nature. Variable stepsize is the key to fast convergence of BP networks.
Li, Yanming,   +3 more
core  

On the finding of stepsize in the numerical integration of the initial value problem [PDF]

open access: yes, 2004
Bu çalışmada, Cauchy probleminin nümerik integrasyonu için Picard teoremi tabanlı değişken adım genişliği seçimi ve hata analizi tabanlı değişken adım genişliği seçimi elde edilmiştir. Bu seçimlere bağlı olarak adım genişliği ve yaklaşık çözüm hesaplayan
Kızılkan, Gülnur Çelik
core  

Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency [PDF]

open access: yes
We consider gradient descent (GD) with a constant stepsize applied to logistic regression with linearly separable data, where the constant stepsize $\eta$ is so large that the loss initially oscillates.
Wu, Jingfeng   +3 more
core   +1 more source

Music Sound Quality Assessment in Bimodal Cochlear Implant Users-Toward Improved Hearing Aid Fitting. [PDF]

open access: yesAudiol Res
Abdellatif KHA   +5 more
europepmc   +1 more source

Discrete stochastic maximal regularity. [PDF]

open access: yesMath Ann
Evangelopoulos-Ntemiris F, Veraar M.
europepmc   +1 more source

Seroresponse to repeated infections with Salmonella enterica Typhi and Paratyphi A. [PDF]

open access: yesEpidemics
Teunis PFM   +8 more
europepmc   +1 more source

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