• AdaGrad

  • Referenced in 133 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...
  • DeepWalk

  • Referenced in 42 articles [sw39604]
  • DeepWalk: Online Learning of Social Representations. We present DeepWalk, a novel approach for learning latent ... information obtained from truncated random walks to learn latent representations by treating walks ... also scalable. It is an online learning algorithm which builds useful incremental results...
  • DENFIS

  • Referenced in 57 articles [sw24183]
  • inference system (DENFIS), for adaptive online and offline learning, and their application for dynamic time ... prediction. DENFIS evolve through incremental, hybrid (supervised/unsupervised), learning, and accommodate new input data, including ... type fuzzy rule set for a DENFIS online model; and (2) creation of a first ... learning process. An evolving clustering method (ECM), which is employed in both online and offline...
  • LIBOL

  • Referenced in 9 articles [sw10887]
  • LIBOL: a library for online learning algorithms. LIBOL is an open-source library for large ... scale online learning, which consists of a large family of efficient and scalable state ... online learning algorithms for large-scale online classification tasks. We have offered easy ... comprehensive experimental platform for conducting online learning research...
  • OpenML

  • Referenced in 14 articles [sw17803]
  • Learning Better, Together. ’OpenML.org’ is an online machine learning platform where researchers can automatically share ... data, machine learning tasks and experiments and organize them online to work and collaborate more...
  • rSGDLM

  • Referenced in 10 articles [sw34467]
  • implements the Variational Bayes method for online learning of the Simultaneous Graphical DLM presented ... Accelerated Bayesian Learning and Forecasting in Simultaneous Graphical Dynamic Linear Models (https://doi.org/10.1214/15-BA946). ... method for online selection of the simultaneous parental sets is described in Bayesian online variable...
  • Forgetron

  • Referenced in 14 articles [sw23913]
  • knowledge, this is the first online kernel-based learning paradigm which, on one hand, maintains...
  • RCV1

  • Referenced in 117 articles [sw07279]
  • benchmark several widely used supervised learning methods on RCV1-v2, illustrating the collection’s properties ... category assignments and taxonomy structures, via online appendices...
  • PAMR

  • Referenced in 10 articles [sw15437]
  • financial markets. Equipped with online passive aggressive learning technique from machine learning, the proposed portfolio ... thus is very suitable for real-life online trading applications. The experimental testbed including source...
  • dynaTree

  • Referenced in 4 articles [sw07923]
  • dynaTree: Dynamic trees for learning and design Inference by sequential Monte Carlo for dynamic tree ... sequential design and optimization, fully online learning with drift, variable selection, and sensitivity analysis...
  • RALF

  • Referenced in 4 articles [sw33955]
  • exploitation sampling criteria that is learned online during the sampling process. In the following framework ... find more representative labels for metric learning in comparison to the other one. Additionally...
  • SOCR

  • Referenced in 12 articles [sw16634]
  • statistics education environment, the Statistics Online Computational Resource (SOCR). This resource performs many ... build student’s intuition and enhance their learning...
  • Thot

  • Referenced in 3 articles [sw34164]
  • presenting an individual sentence pair using online learning (also known as adaptive machine translation...
  • MOA

  • Referenced in 42 articles [sw11966]
  • Massive Online Analysis). MOA is the most popular open source framework for data stream mining ... blog). It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept...
  • MOOC

  • Referenced in 2 articles [sw25634]
  • Massive Open Online Courses (MOOCs) are free online courses available for anyone to enroll. MOOCs ... provide an affordable and flexible way to learn new skills, advance your career and deliver ... extension of edX, a leader in online learning and education. Whether you’re interested ... learning for yourself, leveraging online courses to educate your workforce or creating a MOOC...
  • OP-ELM

  • Referenced in 22 articles [sw12171]
  • based on the original extreme learning machine (ELM) algorithm with additional steps to make ... publicly available online...
  • Exponentron

  • Referenced in 2 articles [sw26900]
  • this paper we present an innovative online learning algorithm, which we name Exponentron ... which theoretically compares the performance of our online algorithm relative to the performance...
  • MathXL

  • Referenced in 2 articles [sw06532]
  • role of MathXL in the online learning of algebra The purpose of this study ... innovative series of text-specific online courses that is available for Pearson textbooks in mathematics...
  • DOGMA

  • Referenced in 1 article [sw15260]
  • DOGMA: a MATLAB toolbox for online learning. A ”dogma” is ”the established belief or doctrine ... aims to unveil the ”mistery” that surrounds online kernel algorithms, showing how it is easy ... MATLAB toolbox for discriminative online learning. It implements all the state of the art algorithms ... library focuses on linear and kernel online algorithms, mainly developped in the ”relative mistake bound...
  • POSSUM

  • Referenced in 8 articles [sw24532]
  • generator for m achine learning), a versatile toolkit with an online web server that ... feature extraction, selection, and benchmarking of machine learning-based models, thereby contributing to a more...