Results 11 to 20 of about 300,695 (305)
IEEE Transactions on Information Theory, 2022 We study the problem of estimating the density $f(\boldsymbol x)$ of a random vector ${\boldsymbol X}$ in $\mathbb R^d$. For a spanning tree $T$ defined on the vertex set $\{1,\dots ,d\}$, the tree density $f_{T}$ is a product of bivariate conditional ...
Kontorovich, Aryeh +2 more
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Tree Density, Hedging, and Topping
EDIS, 2019 This document is HS1026, one of a series of the Horticultural Sciences Department, UF/IFAS Extension. Original publication date March, 2006.
Larry R. Parsons, T. Adair Wheaton
doaj +8 more sources
Modeling human population patterns on tree density [PDF]
Global Journal of Environmental Science and Management, 2016 In order to evaluate the possible correlation between the tree density and the human population density, the forested area in Nav Asalem district located in Guilan Province was selected.
M. Yousefpoor +3 more
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Trace and Density Results on Regular Trees [PDF]
Potential Analysis, 2021 AbstractThe boundary of a regular tree can be viewed as a Cantor-type set. We equip our tree with a weighted distance and a weighted measure via the Euclidean arc-length and consider the associated first-order Sobolev spaces. We give characterizations for the existence of traces and for the density of compactly supported functions.
Pekka Koskela +2 more
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Spatially-explicit models of global tree density. [PDF]
Sci Data, 2016 AbstractRemote sensing and geographic analysis of woody vegetation provide means of evaluating the distribution of natural resources, patterns of biodiversity and ecosystem structure, and socio-economic drivers of resource utilization. While these methods bring geographic datasets with global coverage into our day-to-day analytic spheres, many of the ...
Glick HB +5 more
europepmc +4 more sources
Density estimation trees [PDF]
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, 2011 In this paper we develop density estimation trees (DETs), the natural analog of classification trees and regression trees, for the task of density estimation. We consider the estimation of a joint probability density function of a d-dimensional random vector X and define a piecewise constant estimator structured as a decision tree.
Parikshit Ram, Alexander G. Gray
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Density classification on infinite lattices and trees [PDF]
Electronic Journal of Probability, 2012 Consider an infinite graph with nodes initially labeled by independent Bernoulli random variables of parameter p. We address the density classification problem, that is, we want to design a (probabilistic or deterministic) cellular automaton or a finite-range interacting particle system that evolves on this graph and decides whether p is smaller or ...
Bušić, Ana +3 more
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Density-dependent adult recruitment in a low-density tropical tree [PDF]
Proceedings of the National Academy of Sciences, 2018 Significance An important class of negative feedbacks in population dynamics is the activity of host-specific enemies that disproportionately kill individuals in locations where they are common. This mechanism, called the Janzen–Connell hypothesis, has been proposed as a determinant of the large number of species in tropical forests.
Kellner, James R., Hubbell, Stephen P.
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Interpolating Conditional Density Trees
CoRR, 2012 Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002)
Scott Davies, Andrew W. Moore 0001
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Estimation of tree lists from airborne laser scanning by combining single-tree and area-based methods [PDF]
, 2010 Individual tree crown segmentation from airborne laser scanning (ALS) data often fails to detect all trees depending on the forest structure. This paper presents a new method to produce tree lists consistent with unbiased estimates at area level.
Olofsson, Kenneth +4 more
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