Search Results for author:
Found 2 papers, 0 papers with code
Guided Hyperparameter Tuning Through Visualization and Inference
Moreover, an analysis on the variance in a selected performance metric in the context of the model hyperparameters shows the impact that certain hyperparameters have on the performance metric.
Indexing Cost Sensitive Prediction
We develop algorithms and indexes to support cost-sensitive prediction, i. e., making decisions using machine learning models taking feature evaluation cost into account.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
