• SPOT

  • Referenced in 69 articles [sw06347]
  • variance techniques; tree-based models such as CART and random forest; Gaussian process models (Kriging...
  • tgp

  • Referenced in 26 articles [sw07921]
  • cases also implemented include Bayesian linear models, CART, treed linear models, stationary separable and isotropic...
  • RainForest

  • Referenced in 16 articles [sw20993]
  • selection methods from the literature (including C4.5, CART, CHAID, FACT, ID3 and extensions, SLIQ, SPRINT...
  • CART

  • Referenced in 4 articles [sw25289]
  • CART® software is the ultimate classification tree that has revolutionized the field of advanced analytics ... inaugurated the current era of data science. CART is one of the most important tools ... data mining. Others have tried to copy CART, but no one has succeeded, as evidenced ... both non-technical and technical users, CART can quickly reveal important data relationships that could...
  • evtree

  • Referenced in 7 articles [sw14304]
  • classification and regression tree methods like the CART algorithm are recursive partitioning methods that build...
  • CARTopt

  • Referenced in 4 articles [sw08364]
  • using classification and regression trees (CART) from statistical pattern recognition. The CART partition defines desirable...
  • control.lib

  • Referenced in 5 articles [sw10150]
  • equations and “two pendula mounted on a cart” problem, for both negligible friction and essential...
  • rpartScore

  • Referenced in 5 articles [sw14366]
  • classification trees for ordinal responses within the CART framework. The trees are grown using...
  • MedTree

  • Referenced in 3 articles [sw12469]
  • method called classification and regression trees, or CART, which is of use for nonparametric discrimination...
  • meta-CART

  • Referenced in 1 article [sw27451]
  • package metacart - Meta-CART: a tool to identify interactions between moderators in meta-analysis ... between them. To overcome this problem, meta-CART has been proposed: an approach that applies ... classification and regression trees (CART) to identify interactions, and then subgroup meta-analysis to test ... moderator effects. The previous version of meta-CART has its shortcomings: when applying CART...
  • partDSA

  • Referenced in 1 article [sw07441]
  • such methods are Classification and Regression Trees (CART) and a more recent competitor known ... have shown that partDSA often outperforms CART in so-called ”full data” settings (e.g., uncensored ... There have been several attempts to adapt CART for right-censored data. This article describes...
  • ORL

  • Referenced in 2 articles [sw28404]
  • rules. Unlike traditional decision tree algorithms like CART and C5.0, this method does...
  • CARTS

  • Referenced in 1 article [sw21394]
  • CARTS: a tool for compositional analysis of real-time systems. As real-time embedded systems...
  • OrdLogReg

  • Referenced in 1 article [sw26696]
  • comparing OLR and Classification and Regression Trees (CART) demonstrate that OLR is superior to CART...
  • DTLS

  • Referenced in 1 article [sw13653]
  • popular decision tree algorithms: C4.5, ID3 and CART. The system also supports a few variants...
  • rl-texplore-ros-pkg

  • Referenced in 1 article [sw14315]
  • code includes numerous environments (gridworlds, mountain car, cart pole, etc) as well as agents...
  • TTSBOX

  • Referenced in 1 article [sw14920]
  • TTSBOX uses simple data-driven techniques (Bigrams, CARTs, NUUs) while trying to keep the code...
  • mbonsai

  • Referenced in 1 article [sw25764]
  • pruning strategies adopted from C4.5 and CART algorithms, and includes new features for handling sequence...
  • live

  • Referenced in 1 article [sw27469]
  • based on additive regression like model or CART like model that allows for higher interactions...