Results 1 to 10 of about 109,549 (291)
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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Recognition of medication information from discharge summaries using ensembles of classifiers [PDF]
BMC Medical Informatics and Decision Making, 2012 Background Extraction of clinical information such as medications or problems from clinical text is an important task of clinical natural language processing (NLP).
Doan Son +4 more
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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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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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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).
Ding Jiaman +4 more
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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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Spammer detection using multi-classifier information fusion based on evidential reasoning rule
Scientific Reports, 2022 Spammer detection is essentially a process of judging the authenticity of users, and thus can be regarded as a classification problem. In order to improve the classification performance, multi-classifier information fusion is usually used to realize the ...
Shuaitong Liu +5 more
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Ants Constructing Rule-Based Classifiers [PDF]
, 2006 Swarm Intelligence is an innovative distributed intelligent paradigm for solving optimization problems that originally took its inspiration from the biological examples by swarming, flocking and herding phenomena in vertebrates. Data Mining is an analytic process designed to explore large amounts of data in search of consistent patterns and/or ...
Martens, David +4 more
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Highly interpretable hierarchical deep rule-based classifier [PDF]
Applied Soft Computing, 2020 Pioneering the traditional fuzzy rule-based (FRB) systems, deep rule-based (DRB) classifiers are able to offer both human-level performance and transparent system structure on image classification problems by integrating zero-order fuzzy rule base with a multi-layer image-processing architecture that is typical for deep learning.
Xiaowei Gu, Plamen P. Angelov
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