Geometric Decision Tree

Nov 16, 2016 - decision tree is because of its simplicity and easy interpretability as a classification rule. In a decision tree classifier, each non-...

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Feb 24, 2018 - Incremental Learning, Decision Trees, Classification. ACM Reference Format: Chaitanya Manapragada, Geoffrey I. Webb, and Mahsa Salehi. 2018. Ex- tremely Fast Decision Tree. In Proceedings of ACM conference (KDD'18). ACM,. New York, NY,

Apr 14, 2015 - that it can handle both qualitative and quantitative features in the same oblique split. Keywords: Oblique decision tree, Data classification, Statistical learning, Householder reflection, Machine learning. 1. ..... 2 HHCART(A) - Compl

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Sep 23, 2018 - Methods based on Bayesian decision tree en- sembles have proven valuable in constructing high-quality predictions, and are particularly.

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quence yields the highest cumulative probability. By combining a stack decoder search with a breadth- ... the relative likelihood that each choice is the one which should be selected. 2.1 What is a Decision Tree? .... cal estimates, i.e. relative-fre

Katholieke Universiteit Leuven, Dept. of Computer Science, Celestijnenlaan 200A, B-3001 Leuven, Belgium ... Cross-validation is a useful and generally ap- ... t∗ := optimal test(T). P := partition induced on T by t∗ if stop criterion(P) then retu

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May 23, 2016 - that the hyperplane partitioning can be replaced with ball partitioning, which can further improve the search performance. ... Keywords: GNAT, EGNAT, AESA, metric space indexing, generalized hyperplane partitioning, ball partitioning.

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