David Haussler
(2 articles)
1974
Empirical Risk Minimization
A foundational principle in statistics and ML (Machine Learning), focused on minimizing the average of the loss function over a sample dataset.
Generality: 814
2010
Initialization
Process of setting the initial values of the parameters (weights and biases) of a model before training begins.
Generality: 865