نتایج جستجو برای: classification trees

تعداد نتایج: 573723  

Journal: :International Statistical Review 2014

Journal: :Mathematics for Application 2017

Journal: :WIREs Data Mining and Knowledge Discovery 2011

Journal: :Proceedings of the ... AAAI Conference on Artificial Intelligence 2022

Decision trees are a popular choice of explainable model, but just like neural networks, they suffer from adversarial examples. Existing algorithms for fitting decision robust against examples greedy heuristics and lack approximation guarantees. In this paper we propose ROCT, collection methods to train that optimally user-specified attack models. We show the min-max optimization problem arises...

Journal: :Methods of information in medicine 2003
A Peters B Lausen G Michelson O Gefeller

OBJECTIVES Demonstration of the applicability of a framework called indirect classification to the example of glaucoma classification. Indirect classification combines medical a priori knowledge and statistical classification methods. The method is compared to direct classification approaches with respect to the estimated misclassification error. METHODS Indirect classification is applied usi...

Journal: :Remote Sensing 2016
Erik Næsset

It has been shown that height measurements obtained by airborne laser scanning (ALS) with high point density (>7–8 m ́2) can be used to detect small trees in the alpine tree line—an ecotone sensitive to climate change. Because the height measurements do not discriminate between trees and other convex structures with positive height values, this study aimed at assessing the contribution of ALS ba...

2003
A. J. Feelders Martijn Pardoel

For classification problems with ordinal attributes very often the class attribute should increase with each or some of the explanatory attributes. These are called classification problems with monotonicity constraints. Standard classification tree algorithms such as CART or C4.5 are not guaranteed to produce monotone trees, even if the data set is completely monotone. We look at pruning based ...

In this study 30 coppice oak trees(Quercus brantii Lindl.) with least diameter of 5 centimeteres were chosen with random classification. Characteristics such as the number of sprouts, the diameter, total height, and the large and small diameter of crown were measured. For this purpose, the diameter ranges of the oak trees were devided into 5 cm classes and at least the growth factors of 3 trees...

acquisition field reference data using conventional methods due to limited and time-consuming data from a single tree in recent years, to generate reference data for forest studies using terrestrial laser scanner data, aerial laser scanner data, radar and Optics has become commonplace, and complete, accurate 3D data from a single tree or reference trees can be recorded. The detection and identi...

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