Results 51 to 60 of about 2,453,886 (301)

Random Intersection Trees

open access: yesJ. Mach. Learn. Res., 2013
Finding interactions between variables in large and high-dimensional datasets is often a serious computational challenge. Most approaches build up interaction sets incrementally, adding variables in a greedy fashion. The drawback is that potentially informative high-order interactions may be overlooked.
Shah, RD, Meinshausen, N
openaire   +4 more sources

Identification of Pasture Degradation Using Remote Sensing Data and Machine Learning: A Case Study of Obichnik

open access: yesApplied Sciences
The degradation of pastures and meadows is a global problem with a wide range of impacts. It affects farmers in different ways, such as decreases in cattle production, milk yield, and forage quality. Still, it also has other side effects, such as loss of
Boris Evstatiev   +12 more
doaj   +1 more source

Rooted trees and moments of large sparse random matrices [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2003
In these expository paper we describe the role of the rooted trees as a base for convenient tools in studies ofrandom matrices. Regarding the Wigner ensemble of random matrices, we represent main ingredients ofthis approach.
Oleksiy Khorunzhiy
doaj   +1 more source

The human gut microbiome across the life course

open access: yesFEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero   +4 more
wiley   +1 more source

Random model trees: an effective and scalable regression method [PDF]

open access: yes, 2010
We present and investigate ensembles of randomized model trees as a novel regression method. Such ensembles combine the scalability of tree-based methods with predictive performance rivaling the state of the art in numeric prediction.
Pfahringer, Bernhard
core  

Random Prism: An Alternative to Random Forests. [PDF]

open access: yes, 2011
Ensemble learning techniques generate multiple classifiers, so called base classifiers, whose combined classification results are used in order to increase the overall classification accuracy.
Frederic Stahl   +5 more
core   +1 more source

Local extrema in random trees

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2005
The number of local maxima (resp., local minima) in a tree T∈𝒯n rooted at r∈[n] is denoted by Mr(T) (resp., by mr(T)). We find exact formulas as rational functions of n for the expectation and variance of M1(T) and mn(T) when T∈𝒯n is chosen randomly ...
Lane Clark
doaj   +1 more source

Spatial patterns and intra-specific competition of Chestnut-leaved oak (Quercus castaneifolia C. A. Mey.) using O- ring statistic (Case study: Neka Forest, Iran) [PDF]

open access: yesتحقیقات جنگل و صنوبر ایران, 2015
The spatial patterns of trees in different stages of their life provide important information related to forest regeneration and succession processes.
Farideh Omidvar Hosseini   +3 more
doaj   +1 more source

Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis

open access: yesFEBS Letters, EarlyView.
Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee   +7 more
wiley   +1 more source

Spectral asymptotics for stable trees [PDF]

open access: yes, 2010
We calculate the mean and almost-sure leading order behaviour of the high frequency asymptotics of the eigenvalue counting function associated with the natural Dirichlet form on alpha-stable trees, which lead in turn to short-time heat kernel asymptotics
Croydon, David A., Hambly, Ben M.
core  

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