• SHOGUN

  • Referenced in 97 articles [sw03517]
  • SHOGUN machine learning toolbox. We have developed a machine learning toolbox, called SHOGUN, which ... designed for unified large-scale learning for a broad range of feature types and learning ... offers a considerable number of machine learning models such as support vector machines, hidden Markov ... models, multiple kernel learning, linear discriminant analysis, and more. Most of the specific algorithms...
  • MNIST

  • Referenced in 176 articles [sw12859]
  • database for people who want to try learning techniques and pattern recognition methods on real...
  • KEEL

  • Referenced in 100 articles [sw06791]
  • various kinds including as regression, classification, unsupervised learning, etc. It includes evolutionary learning algorithms based ... well as the integration of evolutionary learning techniques with different pre-processing techniques, allowing ... perform a complete analysis of any learning model in comparison to existing software tools. Moreover...
  • DistAl

  • Referenced in 99 articles [sw01746]
  • DistAl: An inter-pattern distance-based constructive learning algorithm Multi-layer networks of threshold logic ... classification systems. A new constructive neural network learning algorithm (DistAl) based on inter-pattern distance ... offers a significant advantage over other constructive learning algorithms that use an iterative (and often ... demonstrate that DistAl compares favorably with other learning algorithms for pattern classification...
  • LERS

  • Referenced in 121 articles [sw08637]
  • LERS – a system for learning from examples based on rough sets. The paper presents ... choice to use the machine learning approach or the knowledge acquisition approach. In the first...
  • AdaGrad

  • Referenced in 89 articles [sw22202]
  • gradient algorithm; Adaptive subgradient methods for online learning and stochastic optimization. We present ... iterations to perform more informative gradient-based learning. Metaphorically, the adaptation allows us to find ... recent advances in stochastic optimization and online learning which employ proximal functions to control ... proximal function, which significantly simplifies setting a learning rate and results in regret guarantees that...
  • ETPS

  • Referenced in 153 articles [sw06302]
  • number of years. Students generally learn to use ETPS fairly quickly just by reading...
  • ProbLog

  • Referenced in 80 articles [sw06945]
  • various approximate methods. ProbLog1 also supports parameter learning, in both the learning from entailment ... learning from interpretations setting. ProbLog1 also supports decision-theoretic inference. ProbLog2 allows the user ... evidence). ProbLog2 also supports parameter learning in the learning from interpretations setting...
  • clasp

  • Referenced in 90 articles [sw07095]
  • clasp algorithm relies on conflict-driven nogood learning, a technique that proved very successful ... satisfiability checking (SAT). Unlike other learning ASP solvers, clasp does not rely on legacy software ... solving based on conflict-driven nogood learning. clasp can be applied as an ASP solver...
  • CMA-ES

  • Referenced in 100 articles [sw05063]
  • Adaptation of the covariance matrix amounts to learning a second order model of the underlying ... ranking between candidate solutions is exploited for learning the sample distribution and neither derivatives...
  • Mathcad

  • Referenced in 133 articles [sw04210]
  • analyze your calculations without having to learn a new programming language. The result...
  • PyTorch

  • Referenced in 133 articles [sw20939]
  • strong GPU acceleration. PyTorch is a deep learning framework that puts Python first...
  • word2vec

  • Referenced in 94 articles [sw14978]
  • from the training text data and then learns vector representation of words. The resulting word ... many natural language processing and machine learning applications...
  • Pegasos

  • Referenced in 93 articles [sw08752]
  • resulting algorithm is especially suited for learning from large datasets. Our approach also extends ... order-of-magnitude speedup over previous SVM learning methods...
  • OpenCV

  • Referenced in 90 articles [sw11376]
  • open source computer vision and machine learning software library. OpenCV was built to provide ... computer vision and machine learning algorithms. These algorithms can be used to detect and recognize...
  • Keras

  • Referenced in 89 articles [sw15491]
  • Keras: Deep Learning library for Theano and TensorFlow. Keras is a minimalist, highly modular neural ... Keras if you need a deep learning library that: allows for easy and fast prototyping...
  • SuLQ

  • Referenced in 120 articles [sw11355]
  • operate in the in the statistical query learning model...
  • Kernlab

  • Referenced in 86 articles [sw07926]
  • package kernlab: Kernel-based Machine Learning Lab. Kernel-based machine learning methods for classification, regression...
  • Manopt

  • Referenced in 84 articles [sw08493]
  • Such structured constraints appear pervasively in machine learning applications, including low-rank matrix completion, sensor ... camera network registration, independent component analysis, metric learning, dimensionality reduction and so on. The Manopt...
  • Cabri-geometry

  • Referenced in 114 articles [sw04928]
  • Cabri-geometry is a software for learning geometry mainly at school. Now Cabri software...