research
∙
10/25/2019
The Scalability for Parallel Machine Learning Training Algorithm: Dataset Matters
To gain a better performance, many researchers put more computing resour...
research
∙
11/08/2018
Using Known Information to Accelerate HyperParameters Optimization Based on SMBO
Automl is the key technology for machine learning problem. Current state...
research
∙
04/12/2018
Asynch-SGBDT: Asynchronous Parallel Stochastic Gradient Boosting Decision Tree based on Parameters Server
Gradient Boosting Decision Tree, i.e. GBDT, becomes one of the most impo...
research
∙
04/12/2018
Asynchronous Parallel Sampling Gradient Boosting Decision Tree
With the development of big data technology, Gradient Boosting Decision ...
research
∙
08/16/2017