Results 31 to 40 of about 249,007 (264)
Expected size of a tree in the fixed point forest [PDF]
Discrete Mathematics & Theoretical Computer Science, 2019 We study the local limit of the fixed-point forest, a tree structure associated to a simple sorting algorithm on permutations. This local limit can be viewed as an infinite random tree that can be constructed from a Poisson point process configuration on
Samuel Regan, Erik Slivken
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Selection of Random Minimum Spanning Tree Based on Intuitionistic Fuzzy Sets [PDF]
Jisuanji gongcheng, 2016 To solve the difficulty of selecting nodes for network topology in complex environment,a selection method of random minimum spanning tree based on intuitionistic fuzzy sets is proposed.Through analyzing the uncertainty,like randomness and fuzziness ...
WANG Xiaoxia,YANG Fengbao,YUAN Hua
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Improved Random Forest Algorithm Based on Out-of-Bag Prediction and Extended Space [PDF]
Jisuanji gongcheng, 2022 On the basis of the bootstrap method, the random forest algorithm constructs a decision tree by using sampling characteristics.This reduces the correlation among decision trees at the expense of decision tree accuracy, thereby improving the prediction ...
CHANG Shuo, ZHANG Yanchun
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Mathematics of Operations Research, 1984 A widely used class of binary trees is studied in order to provide information useful in evaluating algorithms based on this storage structure. A closed form counting formula for the number of binary trees with n nodes and height k is developed and restated as a recursion more useful computationally. A generating function for the number of nodes given
Brown, Gerald G., Shubert, Bruno O.
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Large Deviations for Random Trees [PDF]
Journal of Statistical Physics, 2008 10 ...
Bakhtin, Yuri, Heitsch, Christine
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ESAIM: Proceedings, 2011 These notes provide an elementary and self-contained introduction to branching ran- dom walks. Section 1 gives a brief overview of Galton-Watson trees, whereas Section 2 presents the classical law of large numbers for branching random walks. These two short sections are not exactly in- dispensable, but they introduce the idea of using size-biased trees,
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MathematicsRoad traffic accident severity prediction is crucial for implementing effective safety measures and proactive traffic management strategies. Existing methods often treat this as a nominal classification problem and use traditional feature selection ...
Bita Ghasemkhani +3 more
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Unsupervised Extremely Randomized Trees [PDF]
, 2018 In this paper we present a method to compute dissimilarities on unlabeled data, based on extremely randomized trees. This method, Unsupervised Extremely Randomized Trees, is used jointly with a novel randomized labeling scheme we describe here, and that we call AddCl3.
Dalleau, Kevin +2 more
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CLASSIFICATION OF ORCHARD CROP USING SENTINEL-1A SYNTHETIC APERTURE RADAR DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 A study was conducted in Saharanpur District of Uttar Pradesh to asses the potential of Sentinel-1A SAR Data in orchard crop classification. The objective of the study was to evaluate three different classifiers that are maximum likelihood classifier ...
H. Sahu, D. Haldar, A. Danodia, S. Kumar
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