Linear gradients have been used successfully in many applications [14], including one-step isolation of a novel bio-active compound from an untreated plant extract [12]. When CCC is used to purify a compound, it is difficult to extrapolate from the gradient separation to the isocratic ...
gradient in the composition of the copolymer chains that are formed along the reaction is by variations in comonomer feed composition during the reaction, forcing the situation to influence the composition of the chains that form as conversion advances; that leads to the use of a semibatch ...
Often, I receive questions about how stochastic gradient descent is implemented in practice. There are many different variants, like drawing one example at a time with replacements or iterating over epochs and drawing one or more training examples without replacement. The goal of this quick write-...
Practical questions such as parameter tuning and model interpretation are discussed in Sect. 3, while Sect. 4 is devoted to assessing the performance of our method in two simulation studies. The application to statistical post-processing of weather forecasts with precipitation data in the Netherlands...
aGeneral average was introduced centuries ago when it was the practice of merchants to travel on the sea with their wares.If a disaster occurred where the loss of the vessel in which they traveled could only be avoided or overcome by one of the merchants sacrificing his wares,it was an und...
In Sect. 5, several numerical examples are presented to investigate performance of the estimator in practice, including the efficiency of the estimator when used in the relevant context of a stochastic gradient algorithm for parameter estimation. In “Appendix A”, the proofs of some of our ...
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Numerical experiments are performed in Section 4, which is followed by a section of concluding remarks. 2. Essential Preliminaries We assume that R + stands for the nonnegative real line, q ∈ ( 0 , 1 ) is a real number, and the q-integer [ n ] q is given as: [ n ] q = 1 ...
Modelling claim frequency and claim severity are topics of great interest in property-casualty insurance for supporting underwriting, ratemaking, and reserving actuarial decisions. Standard Generalized Linear Models (GLM) frequency–severity models assume a linear relationship between a function of the respon...
You’ve used gradient descent and stochastic gradient descent to find the minima of several functions and to fit the regression line in a linear regression problem. You’ve also seen how to apply the class SGD from TensorFlow that’s used to train neural networks. If you have questions or ...