• 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...
  • 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...
  • 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...
  • ORL

  • Referenced in 3 articles [sw28404]
  • Learning customized and optimized lists of rules with mathematical programming. We introduce a mathematical programming ... nonlinear, and logical machine learning classifier involving IF-THEN rules. Unlike traditional decision tree algorithms...
  • 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...
  • 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...
  • POIMs

  • Referenced in 2 articles [sw35360]
  • shortcoming of SVMs is that their learned decision rules are very hard to understand...
  • 4eMka2

  • Referenced in 53 articles [sw16168]
  • classified examples set and analysis of induced rules. It means that user stays within range ... require less additional time spent to learn...
  • SUCRAGE

  • Referenced in 3 articles [sw12332]
  • practical application in supervised learning pattern recognition. Production rules whose conclusions are accompanied by belief...
  • LoTREC

  • Referenced in 25 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...
  • Rseslib

  • Referenced in 14 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...
  • Hyperproof

  • Referenced in 24 articles [sw22172]
  • Hyperproof is a system for learning the principles of analytical reasoning and proof construction, consisting ... sentential information, presenting a set of logical rules for integrating these different forms of information...
  • GENEFER

  • Referenced in 1 article [sw16838]
  • make mistakes, learn and adapt. Agents’ bounded rationality leads us to a rule-based approach ... which we model using fuzzy rule bases. For example if a single agent believes ... discourse. In order to learn a fuzzy rule base from examples we introduce genetic algorithms ... genetic and neural learning algorithms for optimizing the fuzzy rule base...
  • InterpretML

  • Referenced in 6 articles [sw30904]
  • which are machine learning models designed for interpretability (ex: linear models, rule lists, generalized additive...
  • SICLA

  • Referenced in 1 article [sw18741]
  • asked me whether one can automatically generate rules for expert systems from data ... main work has been machine learning, especially finding rules in data. This paper briefly presents...
  • RuleFit

  • Referenced in 1 article [sw20934]
  • interpretational tools described in Predictive Learning via Rule Ensembles (pdf). RuleFit3 is a newer version...
  • LFOIL

  • Referenced in 7 articles [sw02759]
  • LFOIL: linguistic rule induction in the label semantics framework. Label semantics is a random ... with words. In previous work, several machine learning algorithms based on this framework have been ... this paper, we introduce a new linguistic rule induction algorithm based on Quinlan’s FOIL...