Results 11 to 20 of about 22,758,962 (282)
Architectures of evolving fuzzy rule-based classifiers [PDF]
Prediction of the properties of the crude oil distillation side streams based on statistical methods and laboratory-based analysis has been around for decades. However, there are still many problems with the existing estimators that require a development
Angelov, Plamen +3 more
core +4 more sources
Identification of Evolving Rule-based Models. [PDF]
An approach to identification of evolving fuzzy rule-based (eR) models is proposed. eR models implement a method for the noniterative update of both the rule-base structure and parameters by incremental unsupervised learning.
Angelov, Plamen, Buswell, Richard
core +4 more sources
New Associative Classification Method Based on Rule Pruning for Classification of Datasets
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
Architectures for evolving fuzzy rule-based classifiers [PDF]
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
openaire +2 more sources
Intelligent Recognition of Lung Nodule Combining Rule-based and C-SVM Classifiers [PDF]
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
Evolutionary design of nearest prototype classifiers [PDF]
In pattern classification problems, many works have been carried out with the aim of designing good classifiers from different perspectives. These works achieve very good results in many domains.
Isasi, Pedro +2 more
core +1 more source
Intelligent Recognition of Lung Nodule Combining Rule-based and C-SVM Classifiers [PDF]
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
Extracting Explicable Rules for the Identification of Compound–Protein Interactions
Compound-protein interaction (CPI) is one of the essential interaction patterns in living organisms. However, its underlying mechanism has not been fully revealed because of its complicated processes.
Liucun Zhu +4 more
doaj +1 more source
A New Ensemble Learning Method for Multiple Fusion Weighted Evidential Reasoning Rule
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
Improving Rule-Based Classifiers by Bayes Point Aggregation
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
openaire +2 more sources

