• UCI-ml

  • Referenced in 2971 articles [sw04074]
  • Irvine Machine Learning Repository. We currently maintain 251 data sets as a service ... machine learning community. You may view all data sets through our searchable interface ... site for the Repository. The UCI Machine Learning Repository is a collection of databases, domain ... generators that are used by the machine learning community for the empirical analysis of machine...
  • ElemStatLearn

  • Referenced in 1223 articles [sw11049]
  • from the book: ”The Elements of Statistical Learning, Data Mining, Inference, and Prediction” by Trevor...
  • PETSc

  • Referenced in 1121 articles [sw04012]
  • users it initially has a much steeper learning curve than a simple subroutine library...
  • C4.5

  • Referenced in 1104 articles [sw12176]
  • C4.5: programs for machine learning. (C4.5 has been superseded by C5.0...
  • LIBSVM

  • Referenced in 1067 articles [sw04879]
  • LIBSVM has gained wide popularity in machine learning and many other areas. In this article...
  • YALMIP

  • Referenced in 882 articles [sw04595]
  • entirely based on MATLAB code. Easy to learn : 3 new commands is all the user...
  • AdaBoost.MH

  • Referenced in 442 articles [sw08517]
  • decision-theoretic generalization of on-line learning and an application to boosting. In the first ... considerably more general class of learning problems. We show how the resulting learning algorithm ... knowledge about the performance of the weak learning algorithm. We also study generalizations ... boosting algorithm to the problem of learning functions whose range, rather than being binary...
  • Scikit

  • Referenced in 296 articles [sw08058]
  • Scikit-learn: machine learning in python. Scikit-learn is a Python module integrating a wide ... range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised ... problems. This package focuses on bringing machine learning to non-specialists using a general-purpose...
  • SVMlight

  • Referenced in 260 articles [sw04076]
  • regression, and for the problem of learning a ranking function. The optimization algorithms used ... this version is an algorithm for learning ranking functions [Joachims, 2002c]. The goal ... learn a function from preference examples, so that it orders a new set of objects...
  • glasso

  • Referenced in 369 articles [sw07432]
  • graphical lasso [5] is an algorithm for learning the structure in an undirected Gaussian graphical...
  • ANFIS

  • Referenced in 262 articles [sw08730]
  • based fuzzy inference system. The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy ... adaptive networks. By using a hybrid learning procedure, the proposed ANFIS can construct an input...
  • GeoGebra

  • Referenced in 327 articles [sw04203]
  • powerful features. Authoring tool to create interactive learning materials as web pages. Available in many...
  • Visual Basic

  • Referenced in 298 articles [sw03518]
  • Visual Basic to be relatively easy to learn and use.[1][2] Visual Basic...
  • WEKA

  • Referenced in 279 articles [sw06435]
  • Knowledge Analysis. WEKA is a popular machine learning workbench with a development life of nearly...
  • Smalltalk

  • Referenced in 177 articles [sw01561]
  • educational use, more so for constructionist learning, at the Learning Research Group (LRG) of Xerox...
  • Neural Network Toolbox

  • Referenced in 175 articles [sw07378]
  • form equation. Neural Network Toolbox supports supervised learning with feedforward, radial basis, and dynamic networks ... also supports unsupervised learning with self-organizing maps and competitive layers. With the toolbox...
  • TensorFlow

  • Referenced in 240 articles [sw15170]
  • organization for the purposes of conducting machine learning and deep neural networks research...
  • darch

  • Referenced in 238 articles [sw11086]
  • method introduced by the publications ”A fast learning algorithm for deep belief nets...
  • Geometer's Sketchpad

  • Referenced in 224 articles [sw04858]
  • through college—a tangible, visual way to learn mathematics that increases their engagement, understanding...
  • PMTK

  • Referenced in 153 articles [sw14689]
  • accompany Kevin Murphy’s textbook Machine learning: a probabilistic perspective, but can also be used ... unified conceptual and software framework encompassing machine learning, graphical models, and Bayesian statistics (hence...