... He was well known for his textbook in probability theory as well as his contributions to the machine learning, such as CART (Classification and Regression Tree), bagging (bootstrap aggregation), and Random Forest. ...
... and skipping no numbers #current limits - 20 groups / 10 members per group # #format: #server:/dev/file:/usr/adm/logfile:group_num tree:/dev/ttyj0:/tmp/treelog:1 fish:/dev/ttyj1:/tmp/fishlog:1 bird:/dev/ttyj2:/tmp/birdlog:1 solar:/dev/ttyj3:/tmp/solarlog ...
... The AstroStat Slog . [ArXiv] Decision Tree, Aug. 31, 2007 . ... Comparison of decision tree methods for finding active objects by Y. Zhao and Y ... decision three methods (REPTree, Random Tree, Decision Stump, Random Forest, J48 ...
... fits and error bars, from the tree growing point of view, the method of growing trees receives more attention than estimating ... Note: tree = classification tree or regression). ...
... He grew not only a single tree but (random) forests. ... Surprisingly, <strong>trees</strong> attracted computer scientists more than statisticians. ...
... 29, 2007 . [ArXiv] Decision Tree, Aug. 31, 2007 . ... Comparison of decision tree methods for finding active objects by Y. Zhao and Y ... decision three methods (REPTree, Random Tree, Decision Stump, Random Forest, J48 ...
... Tree Myths and Folklore - A nice article about all of the cultural aspects of trees, including the myths, beliefs, and ... The Lore of Trees - An intense resource of the qualities and characteristics of trees, as well as their sacred connotations. ...
... ArXiv] NGC 6397 Deep ACS Imaging, Aug. 29, 2007 . [ArXiv] Decision Tree,. ... Comparison of decision tree methods for finding active objects by Y. Zhao and Y ... decision three methods (REPTree, Random Tree, Decision Stump, Random Forest, J48 ...