<--- Back to Details
First PageDocument Content
Statistical theory / Decision theory / Kullback–Leibler divergence / Thermodynamics / Loss function / Bregman divergence / Bayes estimator / Divergence / Distribution / Statistics / Geometry / Mathematical analysis
Date: 2013-04-06 02:21:38
Statistical theory
Decision theory
Kullback–Leibler divergence
Thermodynamics
Loss function
Bregman divergence
Bayes estimator
Divergence
Distribution
Statistics
Geometry
Mathematical analysis

Loss Functions Robert C. Williamson Abstract Vapnik described the “three main learning problems” of pattern recognition, regression estimation and density estimation. These are defined in terms of the loss functions

Add to Reading List

Source URL: users.cecs.anu.edu.au

Download Document from Source Website

File Size: 148,25 KB

Share Document on Facebook

Similar Documents

An RNAi System in Physcomitrellapatens with an Internal Marker for Silencing Allows for Rapid Identification of Loss of Function Phenotypes Magdalena Bezanilla, Pierre-François Perroud, Aihong Pan, Paul Klueh, and Ralph

An RNAi System in Physcomitrellapatens with an Internal Marker for Silencing Allows for Rapid Identification of Loss of Function Phenotypes Magdalena Bezanilla, Pierre-François Perroud, Aihong Pan, Paul Klueh, and Ralph

DocID: 1v2lS - View Document

Chromosoma DOIs00412RESEARCH ARTICLE  FancJ (Brip1) loss-of-function allele results in spermatogonial

Chromosoma DOIs00412RESEARCH ARTICLE FancJ (Brip1) loss-of-function allele results in spermatogonial

DocID: 1u1Ca - View Document

Soft-DTW: a Differentiable Loss Function for Time-Series

Soft-DTW: a Differentiable Loss Function for Time-Series

DocID: 1tYu3 - View Document

Journal of Machine Learning Research (EWRL SeriesSubmitted 9/16; PublishedValue-Aware Loss Function for Model Learning in Reinforcement Learning

Journal of Machine Learning Research (EWRL SeriesSubmitted 9/16; PublishedValue-Aware Loss Function for Model Learning in Reinforcement Learning

DocID: 1tjm9 - View Document

Neural networks Training neural networks - loss function P MACHINE LEARNING

Neural networks Training neural networks - loss function P MACHINE LEARNING

DocID: 1tefy - View Document