Results 1 to 10 of about 23,894,114 (248)
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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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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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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Improving an Association Rule Based Classifier [PDF]
, 2000 Existing classification algorithms in machine learning mainly use heuristic search to find a subset of regularities in data for classification. In the past few years, extensive research was done in the database community on learning rules using exhaustive search under the name of association rule mining.
Bing Liu 0001 +2 more
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Architectures for evolving fuzzy rule-based classifiers [PDF]
2007 IEEE International Conference on Systems, Man and Cybernetics, 2007 In this paper the recently introduced evolving fuzzy classifier method called eClass is studied in respect to its architecture and evolution of the fuzzy rule-base. The proposed classifier has an open/evolving structure and can start 'from scratch', learning and adapting to the new data samples. Alternatively, if an initial fuzzy rule-based classifier,
Plamen Angelov 0001 +3 more
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Bootstrapping polarity classifiers with rule-based classification [PDF]
Language Resources and Evaluation, 2013 In this article, we examine the effectiveness of bootstrapping supervised machine-learning polarity classifiers with the help of a domain-independent rule-based classifier that relies on a lexical resource, i.e., a polarity lexicon and a set of linguistic rules.
Wiegand, Michael +2 more
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Improving Rule-Based Classifiers by Bayes Point Aggregation
Neurocomputing, 2023 The widespread adoption of artificial intelligence systems with continuously higher capabilities is causing ethical concerns. The lack of transparency, particularly for state-of-the-art models such as deep neural networks, hinders the applicability of such black-box methods in many domains, like the medical or the financial ones, where model ...
Luca Bergamin +2 more
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Rule-based fuzzy classifier for spinal deformities
Bio-Medical Materials and Engineering, 2014 In this paper, 2-steps software using image processing and enhancement technologies is developed to obtain a scoliosis patient's spine pattern from 2D coronal X-Ray images without manual land marking. Then, a Rule-based Fuzzy classifier is implemented on those images to classify the spine patterns using the King-Moe classification approach.
Birtane, Sibel, Korkmaz, Hayriye
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Proceedings of the Twentieth International Conference on Artificial Intelligence and Law11 pages, 1 figure. Extended version of a short paper accepted to ICAIL 2025. This is the authors' version of the work.
Cecilia Di Florio +2 more
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RRULES: An improvement of the RULES rule-based classifier
CoRR, 2021 RRULES is presented as an improvement and optimization over RULES, a simple inductive learning algorithm for extracting IF-THEN rules from a set of training examples. RRULES optimizes the algorithm by implementing a more effective mechanism to detect irrelevant rules, at the same time that checks the stopping conditions more often.
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