Search Results for author:
Found 2 papers, 0 papers with code
Towards a Prediction of Machine Learning Training Time to Support Continuous Learning Systems Development
In particular, we present an extensive empirical study of the Full Parameter Time Complexity (FPTC) approach by Zheng et al., which is, to the best of our knowledge, the only approach formalizing the training time of ML models as a function of both dataset's and model's parameters.
Modeling Quality and Machine Learning Pipelines through Extended Feature Models
Over the years, several solutions have been proposed to automate the building of ML pipelines, most of them focused on semantic aspects and characteristics of the input dataset.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
