9 citations · 26 across the 5 of their papers we have counts for
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stat.ML2014★ 9 cited
An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage
Michael R. Smith, Andrew White, Christophe Giraud-Carrier +1
The results from most machine learning experiments are used for a specific purpose and then discarded. This results in a significant loss of information and requires rerunning expe…
stat.ML2014★ 1 cited
The Potential Benefits of Filtering Versus Hyper-Parameter Optimization
Michael R. Smith, Tony Martinez, Christophe Giraud-Carrier
The quality of an induced model by a learning algorithm is dependent on the quality of the training data and the hyper-parameters supplied to the learning algorithm. Prior work has…