Results 11 to 20 of about 66,699 (304)
Comparative Study of Fuzzy Rule-Based Classifiers for Medical Applications [PDF]
Sensors, 2023 The use of machine learning in medical decision support systems can improve diagnostic accuracy and objectivity for clinical experts. In this study, we conducted a comparison of 16 different fuzzy rule-based algorithms applied to 12 medical datasets and ...
Anna Czmil
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Optimization and Interpretation of Rule-Based Classifiers [PDF]
, 2000 Machine learning methods are frequently used to create rule-based classifiers. For continuous features linguistic variables used in conditions of the rules are defined by membership functions. These linguistic variables should be optimized at the level of single rules or sets of rules.
Wlodzislaw Duch +3 more
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NONDETERMINISTIC DECISION RULES [PDF]
Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej, 2015 In the paper the authors discuss classifiers based on deterministic decision rules and non-deterministic decision rules and prove that non-deterministic decision rules can be used for improving the quality of classification.
Piotr Paszek
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DANCE provides an open-source and low-cost approach to quantify aggression and courtship in Drosophila [PDF]
eLifeQuantifying animal behavior is pivotal for identifying the neuronal and genetic mechanisms involved. Computational approaches have enabled automated analysis of complex behaviors such as aggression and courtship in Drosophila.
R Sai Prathap Yadav +10 more
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Providing PRTools with fuzzy rule-based classifiers
International Conference on Fuzzy Systems, 2010 This paper first reviews the state-of-the-art of fuzzy rule-based classifiers (FRBCs), then it discusses how to implement an FRBC under the Pattern Recognition Toolbox (PRTools), the de-facto standard toolbox for classification in Matlab. Such an implementation, called frbc, allows for a straightforward comparison of frbc with other classifiers already
COCOCCIONI, MARCO +2 more
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Evolving Fuzzy Rule-based Classifiers
2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, 2007 A novel approach to on-line classification based on fuzzy rules with an open/evolving structure is introduced in this paper. This classifier can start `from scratch', learning and adapting to the new data samples or from an initial rule-based classifier that can be updated based on the new information contained in the new samples.
Plamen Angelov +2 more
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Association Rules-Based Classifier Chains Method [PDF]
IEEE Access, 2022 The order for label learning is very important to the classifier chains method, and improper order can limit learning performance and make the model very random. Therefore, this paper proposes a classifier chains method based on the association rules (ARECC in short).
Jiaman Ding +4 more
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Ciruvis: a web-based tool for rule networks and interaction detection using rule-based classifiers. [PDF]
BMC Bioinformatics, 2014 Background: The use of classification algorithms is becoming increasingly important for the field of computational biology. However, not only the quality of the classification, but also its biological interpretation is important.
Bornelöv S, Marillet S, Komorowski J.
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Improving rule-based classification using Harmony Search [PDF]
PeerJ Computer Science, 2019 Classification and associative rule mining are two substantial areas in data mining. Some scientists attempt to integrate these two field called rule-based classifiers.
Hesam Hasanpour +2 more
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International Journal of Computational Intelligence Systems, 2020 Multi-view learning analyzes the information from several perspectives and has largely been applied on semi-supervised contexts. It has not been extensively analyzed for inducing interpretable rule-based classifiers.
Carlos García-Martínez +1 more
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