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Loss function

Known as: Zero-one loss, Loss, Risk function 
In mathematical optimization, statistics, decision theory and machine learning, a loss function or cost function is a function that maps an event or… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2021
Review
2021
Deep learning applies multiple processing layers to learn representations of data with multiple levels of feature extraction… Expand
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Review
2020
Review
2020
Deep Convolutional Neural Network (CNN) is a special type of Neural Networks, which has shown exemplary performance on several… Expand
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Review
2020
Review
2020
In this work, methods to detect one or several change points in multivariate time series are reviewed. They include retrospective… Expand
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Review
2019
Review
2019
  • D. Bertsekas
  • IEEE/CAA Journal of Automatica Sinica
  • 2019
  • Corpus ID: 4881243
In this paper we discuss policy iteration methods for approximate solution of a finite-state discounted Markov decision problem… Expand
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Review
2019
Review
2019
  • W. Powell
  • Eur. J. Oper. Res.
  • 2019
  • Corpus ID: 85512222
Abstract Stochastic optimization is an umbrella term that includes over a dozen fragmented communities, using a patchwork of… Expand
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Review
2019
Review
2019
Model predictive control (MPC) has emerged as a promising approach to control a modular multilevel converter (MMC). With the help… Expand
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Review
2018
Review
2018
This letter reports on WaterGAN, a generative adversarial network (GAN) for generating realistic underwater images from in-air… Expand
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Review
2017
Review
2017
We present the application of deep machine learning technique to classify radio images of extended sources on a morphological… Expand
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Highly Cited
1997
Highly Cited
1997
A new heuristic approach for minimizing possiblynonlinear and non-differentiable continuous spacefunctions is presented. By means… Expand
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Highly Cited
1996
Highly Cited
1996
We present a bias variance decomposition of expected misclassi cation rate the most commonly used loss function in supervised… Expand