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Limit theorems for sequences of random trees
(SPRINGER, 2009)
We consider a random tree and introduce a metric in the space of trees to define the ""mean tree"" as the tree minimizing the average distance to the random tree. When the resulting metric space is compact we have laws of ...
Potentials of random walks on trees
(Elsevier, 2016)
In this article we characterize inverse M-matrices and potentials whose inverses are supported on trees. In the symmetric case we show they are a Hadamard product of tree ultrametric matrices, generalizing a result by ...
A random walk through the trees: Forecasting copper prices using decision learning methods
(Elsevier, 2020)
We investigate the accuracy of copper price forecasts produced by three decision learning methods. Prior evidence (Liu et al. Resources Policy, 2017) shows that a regression tree, a simple decision learning model, can be ...
Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis
The overall success of educational institutions can be measured by the success of its students. Providing factors that increase success rate and reduce the failure of students is profoundly helpful to educational organizations. ...
Hide and vanish: data sets where the most parsimonious tree is known but hard to find, and their implications for tree search methods
(Elsevier, 2014-06)
Three different types of data sets, for which the uniquely most parsimonious tree can be known exactly but is hard to find with heuristic tree search methods, are studied. Tree searches are complicated more by the shape ...
A Note on Distinguishing Random Trees Populations
(Taylor & Francis, 2011-12)
This article addresses the problem of identifying differences between populations of trees. Recently, a sophisticated test was proposed by Busch et al. (2009), the BFFS test, a Kolmogorov type of test that maximizes the ...
Improved Object Recognition with Decision Trees Using Subspace Clustering
(FUJI TECHNOLOGY PRESS LTD, 2016)
Time series of images to improve tree species classification
(2017-10-19)
Tree species classification provides valuable information to forest monitoring and management. The high floristic variation of the tree species appears as a challenging issue in the tree species classification because the ...
Functional and phylogenetic diversity of scattered trees in an agricultural landscape: Implications for conservation
(Elsevier B.V., 2015-01-01)
Scattered trees are an important feature of the matrix of agricultural landscapes, but their role in biodiversity conservation is still controversial and largely unexplored. We aim to investigate the value of scattered ...