
SPOT
 Referenced in 92 articles
[sw06347]
 such as CART and random forest; Gaussian process models (Kriging), and combinations of di erent...

iDNAProt
 Referenced in 16 articles
[sw22410]
 binding proteins using random forest with grey model. DNAbinding proteins play crucial roles ... sequences via the ”grey model” and by adopting the random forest operation engine, we proposed...

aster
 Referenced in 7 articles
[sw06088]
 Models , functions and datasets for Aster modeling (forest graph exponential family conditional or unconditional canonical...

TAX
 Referenced in 11 articles
[sw09437]
 manipulating XML data, modeled as forests of labeled ordered trees. Motivated both by aesthetic considerations...

FARSITE
 Referenced in 28 articles
[sw31762]
 dimensional fire growth model. FARSITE is widely used by the U.S. Forest Service, National Park...

rotationForest
 Referenced in 3 articles
[sw24760]
 package rotationForest: Fit and Deploy Rotation Forest Models. Fit and deploy rotation forest models (”Rodriguez...

SORTIE
 Referenced in 4 articles
[sw16636]
 light in forest population dynamics: from computer simulator to mathematical model ... this article we build a mathematical model for forest growth and we compare this model ... computer forest simulator named SORTIE. The main ingredient taken into account in both models ... Great Mountain Forest in USA. We construct a size structured population dynamics model with...

gRapHD
 Referenced in 7 articles
[sw14378]
 provides tools for selecting trees, forests and decomposable models minimizing information criteria such...

SPRUCOM
 Referenced in 3 articles
[sw02542]
 varying immission exposure. The process model SPRUCOM for forest simulations is presented. It allows ... stands from planting to maturity. The modelled forest stand is divided into four distinct competition ... biosynthesis of supporting and structural tissue. The model was applied in particular to stands under...

party
 Referenced in 28 articles
[sw07330]
 inference trees which embed treestructured regression models into a well defined theory of conditional ... forests. The function mob() implements an algorithm for recursive partitioning based on parametric models...

DPPPseAAC
 Referenced in 5 articles
[sw24764]
 efficient and accurate way. Our model extracts meaningful information directly from the protein sequences, without ... feature extraction, we have employed Random Forest (RF) model to rank the features. Afterwards...

model4you
 Referenced in 2 articles
[sw28804]
 Based on ModelBased Trees and Forests. Modelbased trees for subgroup analyses in clinical ... trials and modelbased forests for the estimation and prediction of personalised treatment effects (personalised ... /ijb20150032>; for details on modelbased forests for estimation of individual treatment effects see Seibold...

ROSEFWRF
 Referenced in 3 articles
[sw23974]
 them, (3) build an appropriate Random Forest model from the preprocessed data and finally...

MiPred
 Referenced in 5 articles
[sw29580]
 pseudo microRNA precursors using random forest prediction model with combined features. To distinguish the real ... Besides, a novel machinelearning algorithm, random forest (RF), is introduced. The results suggest that...

metafor
 Referenced in 33 articles
[sw12291]
 measures, fit fixed, random, and mixedeffects models to such data, carry out moderator ... various types of metaanalytical plots (e.g., forest, funnel, radial, L’Abbe, Baujat plots ... variety of suitable generalized linear (mixedeffects) models (i.e., mixedeffects (conditional) logistic and Poisson...

BCDForest
 Referenced in 1 article
[sw34147]
 BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based ... this paper, we propose a deep learning model, socalled BCDForest, to address cancer subtype ... modification of the standard deep forest model. The BCDForest distinguishes from the standard deep forest ... improve the robustness of deep forest model working on smallscale data. Our model provides...

h2o
 Referenced in 9 articles
[sw17104]
 such as generalized linear models, gradient boosting machines, random forests, and neural networks (deep learning...

QSHEP5D
 Referenced in 7 articles
[sw04406]
 environmental response variables produced by forest growth and production models...

AFFIRM
 Referenced in 6 articles
[sw28906]
 AFFIRM theorem prover: proof forests and management of large proofs. The AFFIRM theorem prover ... verity algorithms, we describe a model (called the ”proof forest”) which helps the user...

trtf
 Referenced in 2 articles
[sw32400]
 Forests. Recursive partytioning of transformation models with corresponding random forest for conditional transformation models...