Improvements of Random Search for Hyperparameter Optimization
3 次查看(过去 30 天)
显示 更早的评论
Hello
Random search is one possibility for hyperparameter optimization in machine learning. I have applied random search to search for the best hyperparameters of a SVM classifier with a RBF kernel. Additional to the continuous Cost and gamma parameter, I have one discrete parameter and also an equality constraint over some parameters.
Now, I would like to develop random search further, e.g. through adaptive random search. That means for example adaptation of the search direction or of the search range.
Does somebody have an idea how this can be done or could reference to some existing work on this? Other ideas for improving random search are also welcome.
0 个评论
回答(1 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Statistics and Machine Learning Toolbox 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!