Applying interval type-2 fuzzy rule based classifiers through a cluster-based class representation [PDF]
, 2015 Fuzzy Rule-Based Classification Systems (FRBCSs) have the potential to provide so-called interpretable classifiers, i.e. classifiers which can be introspective, understood, validated and augmented by human experts by relying on fuzzy-set based rules ...
Aickelin, Uwe +2 more
core +5 more sources
Random Prism: An Alternative to Random Forests. [PDF]
, 2011 Ensemble learning techniques generate multiple classifiers, so called base classifiers, whose combined classification results are used in order to increase the overall classification accuracy.
Bramer, Max, Stahl, Frederic
core +1 more source
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 ...
Bergamin, Luca +2 more
openaire +1 more source
New Associative Classification Method Based on Rule Pruning for Classification of Datasets
IEEE Access, 2019 In data mining, a rule-based classification approach called Associative Classification (AC) normally builds accurate classifiers from supervised learning data sets. It extracts “If-Then” rules and associates each of the generated rules with
Khairan D. Rajab
doaj +1 more source
Intelligent Recognition of Lung Nodule Combining Rule-based and C-SVM Classifiers [PDF]
International Journal of Computational Intelligence Systems, 2011 Computer-aided detection(CAD) system for lung nodules plays the important role in the diagnosis of lung cancer. In this paper, an improved intelligent recognition method of lung nodule in HRCT combing rule-based and costsensitive support vector machine(C-
Bin Li +5 more
doaj +1 more source
A rule-based classifier with accurate and fast rule term induction for continuous attributes [PDF]
, 2019 Rule-based classifiers are considered more expressive, human readable and less prone to over-fitting compared with decision trees, especially when there is noise in the data.
Almutairi, Manal +2 more
core +2 more sources
Intelligent Recognition of Lung Nodule Combining Rule-based and C-SVM Classifiers [PDF]
International Journal of Computational Intelligence Systems, 2012 Computer-aided detection(CAD) system for lung nodules plays the important role in the diagnosis of lung cancer. In this paper, an improved intelligent recognition method of lung nodule in HRCT combing rule-based and cost-sensitive support vector machine ...
Bin Li +5 more
doaj +1 more source
Ensemble of convolutional neural networks for bioimage classification [PDF]
Applied Computing and Informatics, 2021 This work presents a system based on an ensemble of Convolutional Neural Networks (CNNs) and descriptors for bioimage classification that has been validated on different datasets of color images. The proposed system represents a very simple yet effective
Loris Nanni +2 more
doaj +1 more source
Toward a General-Purpose Heterogeneous Ensemble for Pattern Classification [PDF]
, 2015 We perform an extensive study of the performance of different classification approaches on twenty-five datasets (fourteen image datasets and eleven UCI data mining datasets).
Brahnam, Sheryl +3 more
core +2 more sources
A New Ensemble Learning Method for Multiple Fusion Weighted Evidential Reasoning Rule
Journal of Electrical and Computer Engineering, 2023 Ensemble learning, as a kind of method to improve the generalization ability of classifiers, is often used to improve the model effect in the field of deep learning.
YiZhe Zhang +7 more
doaj +1 more source