Additive Models (GAMs) - aior.com

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Stacked Denoising Autoencoders (SDAs) 1

Variational Information Bottleneck (VIB) 1

VQ-VAE (Vector Quantised-Variational AutoEncoder) 1

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Wasserstein GAN with Gradient Penalty (WGAN-GP) 1

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Weibull Distribution 1

Weight Normalization 1

Weight Sharing Neural Networks 1

Weight Standardization 1

Weighted K-Nearest Neighbors (WKNN) 1

Weighted Majority Algorithm (WMA) 1

Weighted Random Forests 1

Wide Residual Networks (WideResNets) 1

Winner-Take-All Neural Networks (WTANNs) 1

Winograd Convolution 1

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additive models (gams)

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A generalized form of linear models, used to relax linear assumptions.

27.07.2023 17:54

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