Geoffrey E. Hinton
(3 articles)
1980
Mixture Model
Probabilistic model that assumes that the data is generated from a mixture of several distributions, each representing a different subpopulation within the overall population.
Generality: 870

1981
GMM
Gaussian Mixture Models
Gaussian Mixture Models
Probabilistic models that assume all data points are generated from a mixture of a finite number of Gaussian distributions with unknown parameters.
Generality: 675

2016
LN
Layer Normalization
Layer Normalization
Technique in deep learning that standardizes the inputs of each layer independently, improving the stability of the neural network.
Generality: 690