• Algorithm 687

  • Referenced in 6 articles [sw13172]
  • Algorithm 687: A decision tree for the numerical solution of initial value ordinary differential equations...
  • DAGGER

  • Referenced in 4 articles [sw22595]
  • tool for analysis and optimization of decision trees and rules. Software system created using ... part of ongoing research on decision trees and rules at King Abdullah University of Science...
  • VFML

  • Referenced in 6 articles [sw11967]
  • information. VFML contains tools for learning decision trees, for learning the structure belief nets...
  • TASC

  • Referenced in 4 articles [sw02567]
  • TASC: Two-attribute-set clustering through decision tree constructionClustering is the process of grouping ... partitions data space by constructing a decision tree using one attribute set, and measures...
  • GlimmerHMM

  • Referenced in 5 articles [sw21670]
  • from the GeneSplicer program and a decision tree adapted from GlimmerM. It also utilizes Interpolated...
  • DIVCLUS-T

  • Referenced in 5 articles [sw02736]
  • hierarchy to be read as a decision tree. It is designed for either numerical...
  • FeynArts

  • Referenced in 115 articles [sw06474]
  • Sepp Küblbeck which could produce tree-level and one-loop diagrams in the Standard Model ... generator. To achieve this, he implemented some decisive new ideas [Eck95], the most important...
  • GCG

  • Referenced in 23 articles [sw10533]
  • builds the tree in the same way, transfers branching decisions and bound changes from...
  • T3C

  • Referenced in 3 articles [sw23234]
  • Improving a decision tree classification algorithms interval splits on continuous attributes. This paper proposes, describes ... classification algorithm that builds decision trees of depth at most three, and results in high...
  • dtControl

  • Referenced in 2 articles [sw36940]
  • dtControl: decision tree learning algorithms for controller representation. Decision tree learning is a popular classification ... applications. Recent work has shown that decision trees can be used to represent provably-correct ... lookup tables or binary decision diagrams, decision tree representations are smaller and more explainable ... algorithms for representing memoryless controllers as decision trees. We highlight that the trees produced...
  • horserule

  • Referenced in 4 articles [sw27913]
  • flexible nonlinear regression and classification using tree ensembles. The model is based on the RuleFit ... where rules from decision trees and linear terms are used in a L1-regularized regression...
  • DTREG

  • Referenced in 4 articles [sw23356]
  • work of creating a decision tree, Support Vector Machine, K-Means clustering, Linear Discriminant Function...
  • ORL

  • Referenced in 4 articles [sw28404]
  • involving IF-THEN rules. Unlike traditional decision tree algorithms like CART and C5.0, this method...
  • HIBITS

  • Referenced in 4 articles [sw30626]
  • models for ordinal data, gradient boosting, decision tree and random forest. Using our proposed model...
  • MONA

  • Referenced in 128 articles [sw06170]
  • tool provides an implementation of automaton-based decision procedures for the logics WS1S and WS2S ... years, including formula reductions, DAGification, guided tree automata, three-valued logic, eager minimization, BDD-based...
  • Pinktoe

  • Referenced in 2 articles [sw25858]
  • extremely useful and popular. For simple trees and memorable variables it is easy to predict ... case using only a standard decision tree diagram. However, for large trees or trees where ... variable description is complex the decision tree diagram is often not enough. This article describes ... visited in the tree that is needed to make a decision and permits the user...
  • OpenDT

  • Referenced in 2 articles [sw12787]
  • suggest, the current focus is on Decision Trees; more specifically, an ensemble of decision trees...
  • SPODT

  • Referenced in 2 articles [sw24241]
  • package SPODT: Spatial Oblique Decision Tree. SPODT is a spatial partitioning method based on oblique ... decision trees, in order to classify study area into zones of different risks, determining their...
  • Algorithm 632

  • Referenced in 3 articles [sw23775]
  • problem through a particular depth-first tree-search technique making use of a lower bound ... which branches to follow in the decision tree and an upper bound to limit...
  • Rborist

  • Referenced in 3 articles [sw23468]
  • Random Forest Algorithm. Scalable decision tree training and prediction...