• Visual Basic

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

  • Referenced in 11 articles [sw16040]
  • series of algorithms for statistical relational learning and probabilistic logic inference, based on the Markov...
  • FOIL

  • Referenced in 30 articles [sw24694]
  • programs: FOIL and related systems. FOIL is a first-order learning system that uses information...
  • Rhinoceros

  • Referenced in 15 articles [sw07518]
  • diversity, multi-disciplinary functions, low learning-curve, relatively low cost, and its ability to import...
  • SimpleMKL

  • Referenced in 62 articles [sw12290]
  • that encourages sparse kernel combinations. Apart from learning the combination, we solve a standard ... kernels and on some model selection problems related to multiclass classification problems...
  • kLog

  • Referenced in 4 articles [sw10403]
  • kLog: a language for logical and relational learning with kernels. We introduce kLog, a novel ... approach to statistical relational learning. Unlike standard approaches, kLog does not represent a probability distribution ... perform kernel-based learning on expressive logical and relational representations. kLog allows users to specify ... tasks that has made statistical relational learning so popular, including classification, regression, multitask learning...
  • kFOIL

  • Referenced in 11 articles [sw23358]
  • kFOIL: learning simple relational kernels. A novel and simple combination of inductive logic programming with...
  • KReator

  • Referenced in 3 articles [sw06946]
  • probabilistic inductive logic programming (or statistical relational learning) aims at applying probabilistic methods of inference ... learning in relational or first-order representations of knowledge. In the past ten years ... probabilistic inductive logic programming and statistical relational learning. Currently, KReator implements Bayesian logic programs, Markov ... probabilistic inductive logic programming and statistical relational learning and illustrate the usage of KReator...
  • Seglearn

  • Referenced in 5 articles [sw23641]
  • learn and is listed under scikit-learn Related Projects. The package depends on numpy, scipy...
  • RFSA

  • Referenced in 15 articles [sw03315]
  • learning examples which give rise to identical residual languages. Here, we study inclusion relations between ... deterministic representations, the number of inclusion relations is very important. We introduced in previous articles ... learning algorithm, DeLeTe2, based on the search of inclusion relations between residual languages, which produces...
  • sktime

  • Referenced in 4 articles [sw35430]
  • rise to various distinct but closely related learning tasks, such as forecasting and time series ... solved by reducing them to related simpler tasks. We discuss the main rationale for creating...
  • MOA

  • Referenced in 37 articles [sw11966]
  • blog). It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept ... recommender systems) and tools for evaluation. Related to the WEKA project, MOA is also written...
  • BNT

  • Referenced in 69 articles [sw07384]
  • exact and approximate inference, parameter and structure learning, and static and dynamic models ... discuss a broad spectrum of issues related to graphical models (directed and undirected), and describe...
  • 4eMka2

  • Referenced in 53 articles [sw16168]
  • rough set with dominance relation. The role of the user is simplified to preparation ... require less additional time spent to learn...
  • AmpliGraph

  • Referenced in 2 articles [sw30610]
  • neural machine learning models for relational Learning, a branch of machine learning that deals with ... supervised learning on knowledge graphs. Use AmpliGraph if you need to: Discover new knowledge from ... graph embeddings. Develop and evaluate a new relational model...
  • BET

  • Referenced in 1 article [sw12109]
  • Weka [1], we present a relational learning workbench called BET (Background + Examples = Theories), implemented ... facilitate speedy development of new relational learning systems as well as quick integration of existing ... easier to experiment with different relational learning algorithms on a common dataset...
  • foxPSL

  • Referenced in 2 articles [sw13725]
  • leading formalisms of statistical relational learning, a recently developed field of machine learning that aims...
  • HyPER

  • Referenced in 2 articles [sw23917]
  • show how a recently introduced statistical relational learning framework can be used to develop...
  • IMOST

  • Referenced in 8 articles [sw02141]
  • decision maker can learn to recognize good solutions, the relative importance of factors ... technique provides integration-oriented, adaptation and dynamic learning features by considering all possibilities...
  • Persistence Landscape

  • Referenced in 13 articles [sw21260]
  • combined with tools from statistics and machine learning. We give efficient algorithms for calculating persistence ... related procedures. These are intended to facilitate the combination of statistics and machine learning with...