The hyperparameter tag has no wiki summary.
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Parameter learning of Markov random field
Given a Markov random field $\mathcal{G} = (\mathcal{V},\mathcal{E})$, the corresponding density function to which is expressed by
$f(x) \propto \prod_{x\in\mathcal{V}} \psi_u(x) ...
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Rule of thumb for tuning the values of the penalty parameter in SVM models
I have recently been running into computational issues in fitting a soft-margin SVM model using the e1071 package in R.
The issue is unavoidable since the problem ...
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How to use multiple datasets in order to measure the performance of a learning system?
I’m working on a project where I need to test a machine learning system which has a lot of hyper-parameters. Further, in order to gauge the performance of system, I’m planning to use several ...
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What is the correct way of implementing weight decay?
When applying weight decay, does one just use all available input features, an arbitrary large number of hidden layer nodes, and cross validate for the appropriate weight decay parameter? Or what is ...
