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2019-8-31 · gradient boosting is a machine learning technique for regression and classification problems, which produces a prediction model in the form of an ensemble of weak prediction models, typically decision trees.it builds the model in a stage-wise fashion like other boosting methods do, and it generalizes them by allowing optimization of an arbitrary differentiable loss function.More
2017-1-4 · gradient echo sequences are widely used in magnetic resonance imaging (mri) for numerous applications ranging from angiography to perfusion to functional mri. compared with spin-echo techniques, the very short repetition times of gradient-echo methods enable very rapid 2d and 3d imaging, but also ...More
A2a: a ‘pressure gradient’ refers to a change in pressure over some distance. it usually refers to a monotonic change between two locations of interest in regard to fluid acceleration. whether the gradient is high, medium or low depends on the sub...More
High gradient magnetic separators are either of the batch or continu- ous type. the batch separator consists of a canister of appropriate size, containing the matrix, enclosed by a solenoid which produces the required magnetic field. commercial units of this type capable of handling 60 tons of solids per hour have been made for the kaolin industry.More
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2016-7-6 · high thermal gradient in thermo-electrochemical cells by insertion of a poly(vinylidene fluoride) membrane. ... hu et al. 16 have utilized commercial glass-frits and nomex ht4848 ...More
2013-12-4 · gradient boosting machines are a family of powerful machine-learning techniques that have shown considerable success in a wide range of practical applications. they are highly customizable to the particular needs of the application, like being learned with respect to different loss functions. this ...More
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