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We used a mathematical model based on Stochastic Gradient Boosting (SGB) to find out, which kind of information can be derived from the complex European Narcolepsy Database.
We divide the streaming social network data into old and updated training tasks respectively, and factorize the training objective function based on stochastic gradient methods to update vectors.
In particular, an incremental network optimizer based on stochastic gradient descent provides a fast and easy-to-implement solution to the problem.
NORMA is based on stochastic gradient descent.
Learning based on stochastic gradient descent is addressed, allowing scaling to large datasets ("big data").
This algorithm is based on stochastic gradient descent which requires some information to be exchanged between neighboring base stations.
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We propose the iterative stochastic ensemble method (ISEM) as a general method for parameter estimation based on stochastic estimation of gradients using an ensemble of directional derivatives.
The DOVCs of the gravitational gradients can be estimated using Proposition 1 based on stochastic model 1.
Reliability analysis is based on stochastic discrete event models like stochastic Petri nets.
The algorithm is developed based on stochastic finite-element method.
Our mechanism is based on stochastic datagram relocation.
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