TERMIUM Plus^®

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[The] gradient boosting algorithm is an ensemble learning method based on a combination of additive models(weak learners), which can gradually learn from the previous misclassifications to create a stronger learning model. This algorithm has been complemented with a feature selection process that increases the overall performance by extracting the most relevant features from the input data.  2, fiche 1, Anglais, - gradient%20boosting%20algorithm

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Par rapport à un seul arbre de décision [...], l'apprentissage d'ensemble génère plusieurs arbres de décision afin d'obtenir une grande précision dans la prédiction. [...] l'algorithme d'amplification du gradient [...] combine plusieurs apprenants faibles en un apprenant fort en ajoutant séquentiellement des prédicteurs pour corriger son prédécesseur. L'erreur résiduelle est minimisée par l'ajout d'arbres [...]  2, fiche 1, Français, - algorithme%20d%27amplification%20du%20gradient

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The proposed iterative restoration algorithm is derived by modifying the optimal gradient method through an adaptive relaxation technique. The adaptivity is introduced to incorporate properties of the true restoration error. This makes the successive approximations approach the exact solution much faster, enabling a visually good convergence within a few iterates.  2, fiche 2, Anglais, - iterative%20restoration%20algorithm

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[The nonlinear autoregressive exogeneous model(NARX) ] is a type of recurrent neural network [that] has the same training techniques [as] classical networks based on the gradient back-propagation algorithm.  1, fiche 3, Anglais, - gradient%20back%2Dpropagation%20algorithm

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L'algorithme de rétropropagation du gradient fut l'un des premiers algorithmes d'apprentissage développé pour les réseaux de neurones multicouches. Encore aujourd'hui, il est utilisé à des fins de comparaisons lorsque de nouveaux algorithmes sont développés.  1, fiche 3, Français, - algorithme%20de%20r%C3%A9tropropagation%20du%20gradient

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Stochastic gradient algorithms are widely used for large-scale learning and inference problems. However, their use in practice is typically guided by heuristics and trial-and-error rather than rigorous, generalizable theory.  5, fiche 4, Anglais, - stochastic%20gradient%20algorithm

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Stochastic gradient descent (SGD) and its variants have established themselves as the go-to algorithms for large-scale machine learning problems with independent samples due to their generalization performance and intrinsic computational advantage.  3, fiche 4, Anglais, - stochastic%20gradient%20algorithm

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An algorithm that chooses how far in the direction of the gradient to go.  1, fiche 5, Anglais, - least%20mean%20square%20algorithm

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Vortex methods are used to simulate chaotic fluid flows at high Reynolds numbers, whereby the gradient of changes demand higher and higher resolution meshes. The fast vortex algorithm, as the Barnes-Hut one, treats the effect of far-away vortices as an average effect to speed up computation.  1, fiche 6, Anglais, - vortex%20algorithm

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Algorithm which makes use of the least-mean-square error signal.  1, fiche 7, Anglais, - gradient%20algorithm

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