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.

Aug 16, 2005 - ‡Supported in part by NSF CAREER award CCF-0347282 and a. Sloan Foundation Fellowship. This paper is posted by permission from the IEEE Computer ..... bounds have rather long and technical proofs based on graph packing. Fairly recent

Oct 19, 2017 - Given syntactic constraints in the form of context-free grammar, and semantic constraints specified by logic formulas, a program sketch, or simply a set of I/O examples, the Syntax ... it has been shown in [1], [2] that enumerative sea

Feb 18, 2013 - The decision tree model captures the complexity of computing functions f : Xm → Y in a setting where the quantity of interest is the number of queries to the input (see [1] for a good review of the model). We are allowed to query ind

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

May 10, 2007 - be used to discover production rules in warehouses or corporate data. Data ... practice, the long processing time required by data mining algorithms remains a ... very definition. Indeed, we can make an analogy between building success

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Apr 8, 2013 - Tübingen, Germany3 Lungemedicinsk Afdeling, Gentofte Hospital, Denmark4,. Department of ... Software: Software for computing kernels and statistical tests is available ..... on spirometry, and 986 were symptom free.

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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.

Aug 23, 2016 - Restricted to points and distances, the constraint graph analysis has deep roots ... fies all equations. Viewed in this foundational way, solving a GCS boils down to formulating a system of equations in the coordinates of the geometric

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Nov 27, 2017 - This choice was made to facilitate easy distillation of the knowledge acquired by a deep neural net into a decision tree. 2 The Hierarchical Mixture of Bigots. We use soft binary decision trees trained with mini-batch gradient descent,

We propose to add specific noise to the numeric attributes after exploring the decision tree of the original data. The obfuscated data then is presented to the second party for decision tree analysis. The decision tree obtained on the original data a