regression trees造句

The algorithm also becomes faster, because regression trees have to be fit to smaller datasets at each iteration.
Don feels overwhelmingly guilty, and so Charlie performs a Classification And Regression Tree ( CART ) analysis behind his back.
Commercial implementations from Salford Systems use the names " Multiple Additive Regression Trees " ( MART ) and TreeNet, both trademarked.
Decision trees where the target variable can take continuous values ( typically real numbers ) are called "'regression trees " '.
Rather, he used a Cray supercomputer and modern statistical techniques like logistic regression or classification and regression trees to determine which kinds of returns get audited.
It's difficult to find regression trees in a sentence. 用regression trees造句挺难的

Other highly cited work includes her papers on boosted regression trees, her review of methods for spatial predictions, and her work on maximum entropy modeling.
This model also uses regression trees to depict the relationship between the identified " cis "-regulatory module and the possible binding set of transcription factors.
The study utilized Classification and Regression Tree analysis, or CART analysis, to identify sets of EAEC factors which were implicated in virulence amongst pediatric patients who presented with acute diarrhea.
Classification and regression trees ( CART ) are a non-parametric decision tree learning technique that produces either classification or regression trees, depending on whether the dependent variable is categorical or numeric, respectively.
Classification and regression trees ( CART ) are a non-parametric decision tree learning technique that produces either classification or regression trees, depending on whether the dependent variable is categorical or numeric, respectively.
Among his research contributions were the invention of error-correcting output coding to multi-class classification, the formalization of the multiple-instance problem, the MAXQ framework for hierarchical reinforcement learning, and the development of methods for integrating non-parametric regression trees into probabilistic graphical models.