• Neural Network Toolbox

  • Referenced in 175 articles [sw07378]
  • form equation. Neural Network Toolbox supports supervised learning with feedforward, radial basis, and dynamic networks...
  • Scikit

  • Referenced in 331 articles [sw08058]
  • machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing...
  • RCV1

  • Referenced in 109 articles [sw07279]
  • benchmark several widely used supervised learning methods on RCV1-v2, illustrating the collection’s properties...
  • SimpleMKL

  • Referenced in 61 articles [sw12290]
  • kernel and the associated predictor in supervised learning settings. For the support vector machine...
  • SVMstruct

  • Referenced in 28 articles [sw04075]
  • multivariate or structured outputs. It performs supervised learning by approximating a mapping...
  • MLC++

  • Referenced in 41 articles [sw13539]
  • machine learning library in C++. We present MLC++, a library ... classes and tools for supervised machine learning. While MLC++ provides general learning algorithms that...
  • auto-sklearn

  • Referenced in 15 articles [sw33039]
  • sklearn provides out-of-the-box supervised machine learning. Built around the scikit-learn machine...
  • MBT

  • Referenced in 6 articles [sw08004]
  • based learning is a form of supervised learning based on similarity-based reasoning. The part ... most similar cases held in memory. Supervised learning approaches are useful when a tagged corpus...
  • DiSCO

  • Referenced in 8 articles [sw28439]
  • algorithm for empirical risk minimization in machine learning. The algorithm is based on an inexact ... loss. In a standard setting for supervised learning, where the n data points are i.i.d...
  • LWPR

  • Referenced in 7 articles [sw13543]
  • locally weighted projection regression (LWPR), a supervised learning algorithm that is capable of handling high...
  • Statistics Toolbox

  • Referenced in 18 articles [sw10157]
  • Statistics Toolbox™ provides statistical and machine learning algorithms and tools for organizing, analyzing, and modeling ... squares regression. The toolbox provides supervised and unsupervised machine learning algorithms, including support vector machines...
  • Spider

  • Referenced in 8 articles [sw10713]
  • spider - machine learning toolbox for Matlab. It’s a library of objects in Matlab ... reasonably) large unsupervised, supervised or semi-supervised machine learning problems. Aims to become a complete...
  • ddalpha

  • Referenced in 5 articles [sw16053]
  • ddalpha. Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular...
  • GSGP

  • Referenced in 5 articles [sw18790]
  • unimodal error surface for any supervised learning problem, i.e., any problem consisting in finding...
  • SUCRAGE

  • Referenced in 3 articles [sw12332]
  • work has a practical application in supervised learning pattern recognition. Production rules whose conclusions ... belief degrees, are obtained by supervised learning from a training set. The proposed learning method...
  • GURLS

  • Referenced in 3 articles [sw10895]
  • GURLS: a least squares library for supervised learning. We present GURLS, a least squares, modular ... extend software library for efficient supervised learning. GURLS is targeted to machine learning practitioners...
  • SOFAR

  • Referenced in 4 articles [sw31665]
  • broad applications to both unsupervised and supervised learning tasks, such as biclustering with sparse singular...
  • DIFFRAC

  • Referenced in 4 articles [sw23902]
  • performance for semi-supervised learning, for clustering or classification. We present empirical evaluations...
  • mdp

  • Referenced in 9 articles [sw14129]
  • collection of supervised and unsupervised learning algorithms and other data processing units that...