• AdaBoost.MH

  • Referenced in 478 articles [sw08517]
  • line learning and an application to boosting. In the first part of the paper ... weight-update technique to derive a new boosting algorithm. This boosting algorithm does not require ... also study generalizations of the new boosting algorithm to the problem of learning functions whose...
  • CGAL

  • Referenced in 372 articles [sw00118]
  • libraries Qt, Geomview, and the Boost Graph Library...
  • Boost

  • Referenced in 188 articles [sw09223]
  • Boost provides free peer-reviewed portable C++ source libraries. We emphasize libraries that work well ... with the C++ Standard Library. Boost libraries are intended to be widely useful, and usable ... across a broad spectrum of applications. The Boost license encourages both commercial and non-commercial ... practice” and provide reference implementations so that Boost libraries are suitable for eventual standardization...
  • BoosTexter

  • Referenced in 76 articles [sw08519]
  • BoosTexter: A boosting-based system for text categorization. This work focuses on algorithms which learn ... improved family of boosting algorithms. We describe in detail an implementation, called BoosTexter ... boosting algorithms for text categorization tasks. We present results comparing the performance of BoosTexter...
  • XGBoost

  • Referenced in 76 articles [sw21035]
  • XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible ... implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting...
  • mboost

  • Referenced in 63 articles [sw07331]
  • package mboost: Model-Based Boosting. Functional gradient descent algorithm (boosting) for optimizing general risk functions...
  • Boost C++ Libraries

  • Referenced in 43 articles [sw04084]
  • Boost provides free peer-reviewed portable C++ source libraries. We emphasize libraries that work well ... with the C++ Standard Library. Boost libraries are intended to be widely useful, and usable ... across a broad spectrum of applications. The Boost license encourages both commercial and non-commercial ... practice” and provide reference implementations so that Boost libraries are suitable for eventual standardization...
  • BGL

  • Referenced in 61 articles [sw17557]
  • Boost Graph Library (BGL). Graphs are mathematical abstractions that are useful for solving many types ... algorithms and data structures. Part of the Boost Graph Library is a generic interface that...
  • boost

  • Referenced in 38 articles [sw35655]
  • package boost: BagBoosting for tumor classification with gene expression data. Motivation: Microarray experiments are expected ... combine the two ensemble schemes bagging and boosting to a novel algorithm called BagBoosting. Results ... bagging is used as a module in boosting, the resulting classifier consistently improves the predictive ... probability estimates of both bagging and boosting on real and simulated gene expression data. This...
  • gbm

  • Referenced in 50 articles [sw07994]
  • Generalized Boosted Regression Models. This package implements extensions to Freund and Schapire’s AdaBoost algorithm ... Friedman’s gradient boosting machine. Includes regression methods for least squares, absolute loss, t-distribution...
  • SMOTEBoost

  • Referenced in 33 articles [sw12571]
  • combination of SMOTE and the standard boosting procedure AdaBoost to better model the minority class ... examples that were misclassified in the previous boosting iteration but also with broader representation ... those instances (achieved by SMOTE). Since boosting algorithms give equal weight to all misclassified examples ... SMOTE is introduced at each round of boosting. Introduction of SMOTE increases the number...
  • BayesTree

  • Referenced in 59 articles [sw07995]
  • Motivated by ensemble methods in general, and boosting algorithms in particular, BART is defined...
  • LEMON

  • Referenced in 47 articles [sw05043]
  • compared with similar software packages, namely BGL (Boost Graph Library) and LEDA. LEMON turned...
  • MPTP 0.2

  • Referenced in 45 articles [sw02589]
  • provers (ATPs) (and vice versa) and to boost the development of domain-based, knowledge-based...
  • Curry

  • Referenced in 43 articles [sw08981]
  • functional and logic programming communities and to boost declarative programming in general...
  • AdaCost

  • Referenced in 26 articles [sw33192]
  • AdaCost: Misclassification cost-sensitive boosting. AdaCost, a variant of AdaBoost, is a misclassification cost-sensitive ... boosting method. It uses the cost of misclassifications to update the training distribution on successive ... boosting rounds. The purpose is to reduce the cumulative misclassification cost more than AdaBoost...
  • LogitBoost

  • Referenced in 18 articles [sw08543]
  • Early stopping in L2 Boosting. It is well known that the boosting-like algorithms, such ... training data when the number of boosting iterations becomes large. Therefore, how to stop ... boosting algorithm at an appropriate iteration time is a longstanding problem for the past decade ... estimate the stopping iteration for L 2 Boosting, but it is still necessary to compute...
  • ada

  • Referenced in 17 articles [sw09505]
  • Package for Stochastic Boosting. Boosting is an iterative algorithm that combines simple classification rules with ... highly accurate classification rule. Stochastic gradient boosting provides an enhancement which incorporates a random mechanism ... each boosting step showing an improvement in performance and speed in generating the ensemble ... package that implements three popular variants of boosting, together with a version of stochastic gradient...
  • xgboost

  • Referenced in 16 articles [sw15875]
  • package xgboost. Extreme Gradient Boosting, which is an efficient implementation of gradient boosting framework. This ... than 10 times faster than existing gradient boosting packages. It supports various objective functions, including...
  • DnCNN

  • Referenced in 26 articles [sw39678]
  • training process as well as boost the denoising performance. Different from the existing discriminative denoising...