than the squared error loss. A variant for classification is also sometimes used. The Huber loss function describes the penalty incurred by an estimation... 8 KB (1,037 words) - 04:31, 18 March 2024 |
Cross-entropy (redirect from Log loss) Muthiah-Nakarajan, Venkataraman (March 17, 2023). "Alternate loss functions for classification and robust regression can improve the accuracy of artificial... 18 KB (3,122 words) - 20:27, 12 May 2024 |
Scoring rule (redirect from Scoring function) or the median. Scoring rules and scoring functions can be thought of as "cost functions" or "loss functions". They are evaluated as the empirical mean... 40 KB (5,510 words) - 22:38, 13 May 2024 |
{\displaystyle {\hat {f}}(x)={\text{Median}}(y|X=x)} . Proof: The Loss functions for classification is L = E [ | y − a | | X = x ] = ∫ − ∞ ∞ | y − a | f Y | X... 8 KB (1,074 words) - 22:32, 2 April 2024 |
Statistical learning theory (section Loss functions) for the loss function to be convex. Different loss functions are used depending on whether the problem is one of regression or one of classification.... 11 KB (1,709 words) - 18:04, 13 May 2024 |
Backpropagation (section Loss function) activation functions at layer l {\displaystyle l} For classification the last layer is usually the logistic function for binary classification, and softmax... 54 KB (7,493 words) - 11:54, 9 May 2024 |
Connectionist temporal classification (CTC) is a type of neural network output and associated scoring function, for training recurrent neural networks... 3 KB (367 words) - 02:23, 4 May 2024 |