• SPOT

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

  • Referenced in 16 articles [sw22410]
  • binding proteins using random forest with grey model. DNA-binding 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 tree-structured regression models into a well defined theory of conditional ... forests. The function mob() implements an algorithm for recursive partitioning based on parametric models...
  • DPP-PseAAC

  • 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 Model-Based Trees and Forests. Model-based trees for subgroup analyses in clinical ... trials and model-based forests for the estimation and prediction of personalised treatment effects (personalised ... /ijb-2015-0032>; for details on model-based forests for estimation of individual treatment effects see Seibold...
  • ROSEFW-RF

  • Referenced in 3 articles [sw23974]
  • them, (3) build an appropriate Random Forest model from the pre-processed 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 machine-learning algorithm, random forest (RF), is introduced. The results suggest that...
  • metafor

  • Referenced in 33 articles [sw12291]
  • measures, fit fixed-, random-, and mixed-effects models to such data, carry out moderator ... various types of meta-analytical plots (e.g., forest, funnel, radial, L’Abbe, Baujat plots ... variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects (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, so-called 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 small-scale 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...