• FOIL-D

  • Referenced in 3 articles [sw02584]
  • success on a variety of multi-relational rule mining tasks, however, most ILP systems ... decrease the computational cost of learning a set of rules. We present experimental results that ... standard ILP datasets, the rule sets learned using our extensions are equivalent to those learned...
  • Neko

  • Referenced in 1 article [sw38428]
  • Neko: a Library for Exploring Neuromorphic Learning Rules. The field of neuromorphic computing ... spiking models, general software libraries for learning rules remain underexplored. This is partly ... nature of efforts to design new learning rules, which range from encoding methods to gradient ... that mimic the Bayesian brain to constrained learning algorithms deployed on memristor crossbars. To address...
  • NEFCLASS-X

  • Referenced in 4 articles [sw27865]
  • means of obtaining fuzzy classification rules by a learning algorithm. Although it is usually ... obtained by a learning process and how interactive strategies for pruning rules and variables from...
  • iASA

  • Referenced in 3 articles [sw01494]
  • propose a tool, called iASA, that learns to automatically annotate web documents according ... specifically, the Similarity-based Rule Learner-SRL) and machine learning techniques. Using linguistic knowledge ... Similarity-based learning efficiently reduces the search space by avoiding pseudo rule generalization ... proposes. Moreover, our annotation algorithm exploits machine learning methods to correctly select instances...
  • IMLI

  • Referenced in 2 articles [sw41233]
  • Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules. The wide adoption of machine ... seeks to reduce the problem of learning interpretable rules expressed in Conjunctive Normal Form ... worlds, i.e., a sound framework for interpretable learning that can take advantage of MaxSAT solvers...
  • SEFRON

  • Referenced in 1 article [sw41928]
  • SEFRON and its supervised learning rule for pattern classification problems. The time-varying synaptic efficacy ... given pattern, the SEFRON’s learning rule determines the changes in the amplitudes of weights ... benchmark data sets from the UCI machine learning repository. The results clearly indicate that...
  • NetSDM

  • Referenced in 1 article [sw28408]
  • with complex semantic background knowledge to learn rules that can be easily interpreted. The drawback ... radical time efficiency improvements and that learned rules are comparable or better than the rules...
  • S4NN

  • Referenced in 1 article [sw41327]
  • neuron. We propose a new supervised learning rule for multilayer spiking neural networks (SNNs) that ... stimulus. We derive a new learning rule for this sort of network, named S4NN, akin...
  • RuleKit

  • Referenced in 1 article [sw30223]
  • Comprehensive Suite for Rule-Based Learning. Rule-based models are often used for data analysis ... present RuleKit, a versatile tool for rule learning. Based on a sequential covering induction algorithm...
  • GAssist

  • Referenced in 7 articles [sw08533]
  • GAssist is a Pittsburgh-style learning classifier system (LCS). It uses a standard genetic algorithm ... them being a complete and variable-length rule set. This system incorporates several mechanisms ... data mining problems: A windowing system Incremental Learning with Alternative Strata (ILAS) to improve ... Adaptive Discretization Intervals (ADI), an explicit default rule mechanism and a fitness function based...
  • PDE-Net

  • Referenced in 63 articles [sw36963]
  • approach has the most flexibility by learning both differential operators and the nonlinear responses ... differential operators and the orders of sum rules of filters (an important concept originated from...
  • MLIC

  • Referenced in 2 articles [sw41213]
  • MaxSAT-Based framework for learning interpretable classification rules. The wide adoption of machine learning approaches ... SVMs. Historically, problems of learning interpretable classifiers, including classification rules or decision trees, have been...
  • OneR

  • Referenced in 1 article [sw32866]
  • package OneR: One Rule Machine Learning Classification Algorithm with Enhancements. Implements the One Rule (OneR ... baseline for machine learning models and the rules are often helpful heuristics...
  • DiffSharp

  • Referenced in 95 articles [sw16033]
  • derivatives, by systematically invoking the chain rule of calculus at the elementary operator level during ... Pearlmutter mainly for research applications in machine learning, as part of their work...
  • hebbRNN

  • Referenced in 1 article [sw29194]
  • hebbRNN: A Reward-Modulated Hebbian Learning Rule for Recurrent Neural Networks. How does our brain ... learn to produce the large, impressive, and flexible array of motor behaviors we possess ... Matlab implementation of a biologically-plausible training rule for recurrent neural networks using a delayed...
  • DeepSleepNet

  • Referenced in 2 articles [sw21053]
  • Objective: The present study proposes a deep learn- ing model, named DeepSleepNet, for automatic sleep ... temporal information such as stage transition rules, which is important to correctly identify the next ... Short- Term Memory (bidirectional-LSTM) to learn transition rules among sleep stages from EEG epochs ... methods. Significance: This study proposes a deep learning model that can automatically learn features from...
  • bio-time-series

  • Referenced in 1 article [sw42299]
  • streaming setting and all learning rules being local. One algorithm is model based ... necessary to use the prediction error for learning are absent. For this case, we propose...
  • Rseslib

  • Referenced in 16 articles [sw30225]
  • collection of rough set and machine learning algorithms and data structures in Java. It provides ... algorithms for discretization, discernibility matrix, reducts, decision rules and for other concepts of rough...
  • FuzzyART

  • Referenced in 1 article [sw42103]
  • lies in the flexibility of the learning rule. If a given input feature does...
  • LoTREC

  • Referenced in 27 articles [sw07684]
  • high-level language for tableau rules and strategies. It aims at covering all Kripke-semantic ... interface. It can be used as a learning system for possible worlds semantics and tableaux...