
Plotting the cumulative deviation of a subgroup from the full population as a function of score
Assessing whether a subgroup of a full population is getting treated equ...
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An optimizable scalar objective value cannot be objective and should not be the sole objective
This paper concerns the ethics and morality of algorithms and computatio...
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Plots of the cumulative differences between observed and expected values of ordered Bernoulli variates
Many predictions are probabilistic in nature; for example, a prediction ...
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Secure multiparty computations in floatingpoint arithmetic
Secure multiparty computations enable the distribution of socalled shar...
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Methods of interpreting error estimates for grayscale image reconstructions
One representation of possible errors in a grayscale image reconstructio...
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Simulating singlecoil MRI from the responses of multiple coils
We convert the informationrich measurements of parallel and phasedarra...
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Compressed sensing with a jackknife and a bootstrap
Compressed sensing proposes to reconstruct more degrees of freedom in a ...
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Hierarchical loss for classification
Failing to distinguish between a sheepdog and a skyscraper should be wor...
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Poor starting points in machine learning
Poor (even random) starting points for learning/training/optimization ar...
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Convolutional networks and learning invariant to homogeneous multiplicative scalings
The conventional classification schemes  notably multinomial logistic ...
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A mathematical motivation for complexvalued convolutional networks
A complexvalued convolutional network (convnet) implements the repeated...
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Mark Tygert
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