Results 31 to 40 of about 11,564,095 (404)
An extension to the Wiener space of the arbitrary functions principle [PDF]
, 2006 The arbitrary functions principle says that the fractional part of $nX$ converges stably to an independent random variable uniformly distributed on the unit interval, as soon as the random variable $X$ possesses a density or a characteristic function ...
Bouleau, Nicolas
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Hyperparameters and tuning strategies for random forest [PDF]
WIREs Data Mining Knowl. Discov., 2018 The random forest (RF) algorithm has several hyperparameters that have to be set by the user, for example, the number of observations drawn randomly for each tree and whether they are drawn with or without replacement, the number of variables drawn ...
Philipp Probst +2 more
semanticscholar +1 more source
Random semilinear system of differential equations with impulses
Fixed Point Theory and Applications, 2017 In this paper, we study the existence of solutions for systems of random semilinear impulsive differential equations. The existence results are established by means of a new version of Perov’s, a nonlinear alternative of Leray-Schauder’s fixed point ...
A Baliki, JJ Nieto, A Ouahab, ML Sinacer
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A random forest guided tour [PDF]
Test (Madrid), 2015 The random forest algorithm, proposed by L. Breiman in 2001, has been extremely successful as a general-purpose classification and regression method.
G. Biau, Erwan Scornet
semanticscholar +1 more source
Fano’s Inequality for Random Variables [PDF]
Statistical Science, 2020 We extend Fano's inequality, which controls the average probability of events in terms of the average of some $f$--divergences, to work with arbitrary events (not necessarily forming a partition) and even with arbitrary $[0,1]$--valued random variables, possibly in continuously infinite number.
Gerchinovitz, Sebastien +2 more
openaire +7 more sources
Binary and Ordinal Random Effects Models Including Variable Selection [PDF]
, 2010 A likelihood-based boosting approach for fitting binary and ordinal mixed models is presented. In contrast to common procedures it can be used in high-dimensional settings where a large number of potentially influential explanatory variables is available.
Groll, Andreas, Tutz, Gerhard
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On degenerate Poisson random variable
Mathematical and Computer Modelling of Dynamical SystemsIn this paper, we delve into the intricate properties of degenerate Poisson random variables, exploring their moment generating function, the law of large numbers, and the central limit theorem.
Mikyoung Ha, Suhyun Lee, Youngsoo Seol
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On the Sojourn Time of the Brownian Process in a Multidimensional Sphere
Nonlinear Analysis, 2009 We consider the Brownian motion process B m(s) in the m-space and the distribution F m(t, x, a) = P ˘ sup 0≤s≤t ˛ ˛B m(s) + x ˛ ˛ < a¯ , where a > 0, x ∈ R m, |x| < a.
S. Steišūnas
doaj +1 more source
VSURF: An R Package for Variable Selection Using Random Forests
The R Journal, 2015 This paper describes the R package VSURF. Based on random forests, and for both regression and classification problems, it returns two subsets of variables.
R. Genuer +2 more
semanticscholar +1 more source
Correlation and variable importance in random forests [PDF]
Statistics and computing, 2013 This paper is about variable selection with the random forests algorithm in presence of correlated predictors. In high-dimensional regression or classification frameworks, variable selection is a difficult task, that becomes even more challenging in the ...
Baptiste Gregorutti +2 more
semanticscholar +1 more source