• AlexNet

  • Referenced in 472 articles [sw38522]
  • result, the network has learned rich feature representations for a wide range of images...
  • node2vec

  • Referenced in 79 articles [sw27202]
  • node2vec: Scalable Feature Learning for Networks. Prediction tasks over nodes and edges in networks require ... careful effort in engineering features used by learning algorithms. Recent research in the broader field ... learning the features themselves. However, present feature learning approaches are not expressive enough to capture ... propose node2vec, an algorithmic framework for learning continuous feature representations for nodes in networks...
  • YALMIP

  • Referenced in 1033 articles [sw04595]
  • multi-parametric programming, geometric programming The main features of YALMIP are: Easy to install since ... entirely based on MATLAB code. Easy to learn : 3 new commands is all the user...
  • GeoGebra

  • Referenced in 381 articles [sw04203]
  • interface, yet many powerful features. Authoring tool to create interactive learning materials as web pages...
  • SHOGUN

  • Referenced in 103 articles [sw03517]
  • broad range of feature types and learning settings. It offers a considerable number of machine...
  • PETSc

  • Referenced in 1541 articles [sw04012]
  • users it initially has a much steeper learning curve than a simple subroutine library ... time to take full advantage of the features that enable efficient software use. However...
  • DeepWalk

  • Referenced in 63 articles [sw39604]
  • present DeepWalk, a novel approach for learning latent representations of vertices in a network. These ... advancements in language modeling and unsupervised feature learning (or deep learning) from sequences of words...
  • word2vec

  • Referenced in 172 articles [sw14978]
  • used as features in many natural language processing and machine learning applications...
  • Jena

  • Referenced in 53 articles [sw10685]
  • Take a tour of SPARQL’s features and learn how to use SPARQL queries from...
  • AdaGrad

  • Referenced in 157 articles [sw22202]
  • iterations to perform more informative gradient-based learning. Metaphorically, the adaptation allows us to find ... seen features. Our paradigm stems from recent advances in stochastic optimization and online learning which...
  • STL-10 dataset

  • Referenced in 23 articles [sw39164]
  • image recognition dataset for developing unsupervised feature learning, deep learning, self-taught learning algorithms ... challenging benchmark for developing more scalable unsupervised learning methods. Reference: Adam Coates, Honglak Lee, Andrew ... Single Layer Networks in Unsupervised Feature Learning...
  • Pueblo

  • Referenced in 33 articles [sw00743]
  • implication graph analysis for conflict-induced learning. Novel features of our approach include a light...
  • MiniMaxSat

  • Referenced in 36 articles [sw09732]
  • objective functions and constraints. Its main features are: learning and backjumping on hard clauses; resolution...
  • Jason

  • Referenced in 65 articles [sw06187]
  • systems using the Jason platform; it reinforces learning with examples, problems, and illustrations, includes ... practice, and features an accompanying website that provides further learning resources including sample code, exercises...
  • PMTK

  • Referenced in 211 articles [sw14689]
  • unified conceptual and software framework encompassing machine learning, graphical models, and Bayesian statistics (hence ... bugs will be fixed, but no new features will be added (at least...
  • SLEP

  • Referenced in 41 articles [sw13487]
  • SLEP: Sparse Learning with Efficient Projections. Main Features: 1) First-Order Method. At each iteration...
  • PointCNN

  • Referenced in 8 articles [sw32557]
  • simple and general framework for feature learning from point clouds. The key to the success ... unordered, thus directly convolving kernels against features associated with the points, will result in desertion ... address these problems, we propose to learn an X-transformation from the input points ... generalization of typical CNNs to feature learning from point clouds, thus we call it PointCNN...
  • Prodigy

  • Referenced in 36 articles [sw20686]
  • basis for research in planning, machine learning, apprentice-type knowledge-refinement interfaces, and expert systems ... structure, user interface, abstraction module, and other features. The tutorial style is meant to provide ... basic features, as well as gradually learning the more esoteric aspects of PRODIGY4.0...
  • DENFIS

  • Referenced in 57 articles [sw24183]
  • incremental, hybrid (supervised/unsupervised), learning, and accommodate new input data, including new features, new classes ... inserted into DENFIS before or during its learning process. Fuzzy rules can also be extracted...
  • Mathcad

  • Referenced in 139 articles [sw04210]
  • engineering notebook with the powerful features of dedicated engineering calculations application. Its document-centric, WYSIWYG ... analyze your calculations without having to learn a new programming language. The result...