11. In this case the decision tree model is a binary tree. 12. Fig . 1 : The SERS Decision Tree for single step PD games. 13. A variant of decision tree learning called model trees learns piecewise linear functions. 14. Another use of decision trees is as a descriptive means for calculating conditional probabilities. 15. This again ensures that all decision trees designed by GEP are always valid programs. 16. Note that some decision trees may be shorter than others. 17. The same lower bound was later proved for the randomized algebraic decision tree model. 18. Opinions describe ways of satisfying a desire using decision trees . 19. Description : Decision Trees are a common learning algorithm and a decision representation tool. 20. Single access keys are closely related to decision trees or self-balancing binary search trees.
