• BartPy

  • Referenced in 99 articles [sw40584]
  • general, and boosting algorithms in particular, BART is defined by a statistical model: a prior...
  • BayesTree

  • Referenced in 64 articles [sw07995]
  • general, and boosting algorithms in particular, BART is defined by a statistical model: a prior...
  • Statistics Toolbox

  • Referenced in 18 articles [sw10157]
  • tests. For analyzing multidimensional data, Statistics Toolbox includes algorithms that let you identify key variables ... unsupervised machine learning algorithms, including support vector machines (SVMs), boosted and bagged decision trees...
  • ENDER

  • Referenced in 15 articles [sw12831]
  • ENDER - A statistical framework for boosting decision rules. Induction of decision rules plays an important ... this paper, we thoroughly analyze a learning algorithm, called ENDER, which constructs an ensemble...
  • Graph-tool

  • Referenced in 11 articles [sw27516]
  • efficient Python module for manipulation and statistical analysis of graphs (a.k.a. networks). Contrary to most ... similar functionality, the core data structures and algorithms are implemented in C++, making extensive ... template metaprogramming, based heavily on the Boost Graph Library. This confers it a level...
  • picasso

  • Referenced in 3 articles [sw20406]
  • convex penalty. Users can enjoy the superior statistical property of non-convex penalty such ... relaxation and the PathwIse CAlibrated Sparse Shooting algOrithm (PICASSO) which exploits warm start initialization, active ... strong rule for coordinate preselection to boost computation, and attains a linear convergence ... unique sparse local optimum with optimal statistical properties. The computation is memory-optimized using...
  • GBMCI

  • Referenced in 2 articles [sw11476]
  • gradient boosting algorithm for survival analysis via direct optimization of concordance index. Survival analysis focuses ... time to an event of interest. Many statistical models have been proposed for survival analysis ... ensemble model is trained using a gradient boosting method to optimize a smoothed approximation...
  • EMILE

  • Referenced in 4 articles [sw19074]
  • this substitutionability relation. If there exists enough statistical evidence for the existence of a grammatical ... type. Fundamental notions in the EMILE 4.1 algorithm are the so-called characteristic expressions ... notion of characteristic context and expression boosts the learning capacities of the EMILE 4.1 algorithm...
  • KDTREE

  • Referenced in 3 articles [sw18200]
  • dimensional Euclidean space. Many data-based statistical algorithms require that one find near or nearest ... data structure and search algorithms are the generalization of classical binary search trees to higher ... Standard Template Library as well as the BOOST C++ library be installed...
  • SurvBoost

  • Referenced in 1 article [sw23772]
  • However, there is lack of computationally efficient statistical software for high-dimensional variable selection ... developed to implement the gradient boosting algorithm for fitting the SPH model with high-dimensional...
  • StatPatternRecognition

  • Referenced in 1 article [sw15007]
  • high energy physics (HEP) data needs advanced statistical tools to separate signal from background ... trees, bump hunting (PRIM), boosting (AdaBoost), bagging and random forest algorithms, and interfaces...
  • TangentBoost

  • Referenced in 1 article [sw29974]
  • TangentBoost algorithm. TangentBoost is a robust boosting algorithm. The method combines loss function and weak ... algorithm. The problem causes mislabeling of observations in the statistical classification. In this paper, there...
  • Algorithm 1010

  • Referenced in 1 article [sw35945]
  • Algorithm 1010: boosting efficiency in solving quartic equations with no compromise in accuracy. Aiming ... physical applications, we have proposed an algorithm that builds on the previous works ... Newton-Raphson method. Our algorithm is very accurate in comparison with other state ... robustness of the algorithm, i.e., its ability to cope with the detrimental effect of round...
  • EEBoost

  • Referenced in 1 article [sw26353]
  • selection based on estimating equations. The modern statistical literature is replete with methods for performing ... EEBoost algorithm is obtained as a modification of the standard boosting (or functional gradient descent...
  • Aletheia

  • Referenced in 1 article [sw34338]
  • checkers. The key idea is to apply statistical learning to the warnings output ... reported by the analysis, and the learning algorithm then classifies the remaining warnings automatically ... true warnings, Aletheia is able to boost precision by a threefold factor (x 2.868), while...
  • CGAL

  • Referenced in 402 articles [sw00118]
  • The goal of the CGAL Open Source Project...
  • LAPACK

  • Referenced in 1713 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • Matlab

  • Referenced in 13702 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • R

  • Referenced in 10196 articles [sw00771]
  • R is a language and environment for statistical...