-
Linear Model
Gauss & Markov -
Likelihood
Fisher -
model of a single neuron Source
Mc Culloch Pitt -
logistic regression
Berkson -
neural learning
Donald heb -
artificial intelligence
John McCarthy -
Perceptrons
Rosenblatt -
Adaline
Widrow & Hoff -
Ridge regression
Hoerl & Kennard -
SVR
Vapnik -
kNN
Thomas Cover -
Xor Problem
Minsky & Papert -
Multi-layered Perceptron
Rumelhart & Hinton & Wiliams -
Lasso
Santosa -
SVM
Vapnik & Cortes -
Random Forests
Tin Kam -
Elastic net regularization
Zou -
GAMLSS
Rigby -
Deep Neural Network (Pretraining)
Hinton & Ruslan