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searching for Decision tree learning 5 found (48 total)

alternate case: decision tree learning

Decision list (238 words) [view diff] no match in snippet view article find links to article

list includes as a subset the language specified by a k-depth decision tree. Learning decision lists can be used for attribute efficient learning. A
Rule induction (336 words) [view diff] exact match in snippet view article find links to article
“if-then statements” and was created with the ID3 algorithm for decision tree learning.: 7 : 348  Rule learning algorithm are taking training data as input
LightGBM (714 words) [view diff] exact match in snippet view article find links to article
loss. Besides, LightGBM does not use the widely used sorted-based decision tree learning algorithm, which searches the best split point on sorted feature
Category utility (3,953 words) [view diff] exact match in snippet view article find links to article
utility measure is similar to the information gain metric used in decision tree learning. In certain presentations, it is also formally equivalent to the
Vasant Honavar (8,139 words) [view diff] case mismatch in snippet view article find links to article
Atramentov, A., Leiva, H., and Honavar, V. (2003). A Multi-Relational Decision Tree Learning Algorithm – Implementation and Experiments.. In: Proceedings of