Results 221 to 230 of about 22,732 (252)

The Price Equation Reveals a Universal Force-Metric-Bias Law of Algorithmic Learning and Natural Selection. [PDF]

Entropy (Basel)
Frank SA.
europepmc   +1 more source

Vibration error correction in absolute gravity measurement using BP neural network. [PDF]

Sci Rep
Niu Y, Wu Q, Zhang Y, Li Z.
europepmc   +1 more source

Dynamic differential privacy technique for deep learning models. [PDF]

Sci Rep
Elabd E.
europepmc   +1 more source

Utilization of machine learning to identify lower extremity biomechanical predictors of rupture in a validated cadaveric model of ACL injury. [PDF]

Sci Rep
Khorrami P, Braimoh T, Reis DA, Bates NA, Schilaty ND, Templeton JM.   +5 more
europepmc   +1 more source

Accelerated Stochastic Conjugate Gradient for a class of convex optimization. [PDF]

PLoS One
He L, Du Y.
europepmc   +1 more source

Clinical efficacy and predictive model development for levetiracetam in children with newly diagnosed epilepsy of unknown etiology. [PDF]

Transl Pediatr
Yan H, Hou Y, Cao X, Wan L, Li Z, Zu J, Yang G.   +6 more
europepmc   +1 more source

Stochastic Gradient Descent on Riemannian Manifolds [PDF]

IEEE Transactions on Automatic Control, 2013
Stochastic gradient descent is a simple approach to find the local minima of a cost function whose evaluations are corrupted by noise. In this paper, we develop a procedure extending stochastic gradient descent algorithms to the case where the function is defined on a Riemannian manifold.
Silvere Bonnabel
exaly   +3 more sources

Stochastic Gradient Descent in Continuous Time [PDF]

SIAM Journal on Financial Mathematics, 2017
Stochastic gradient descent in continuous time (SGDCT) provides a computationally efficient method for the statistical learning of continuous-time models, which are widely used in science, engineering, and finance. The SGDCT algorithm follows a (noisy) descent direction along a continuous stream of data.
Konstantinos Spiliopoulos
exaly   +3 more sources

A stochastic multiple gradient descent algorithm [PDF]

European Journal of Operational Research, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fabrice Poirion, Quentin Mercier, Jean-Antoine Desideri   +2 more
exaly   +4 more sources

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Backpropagation and stochastic gradient descent method

Neurocomputing, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shun-Ichi Amari
exaly   +3 more sources