Results 41 to 50 of about 66,699 (304)
Coverage-Based Classification Using Association Rule Mining
Applied Sciences, 2020 Building accurate and compact classifiers in real-world applications is one of the crucial tasks in data mining nowadays. In this paper, we propose a new method that can reduce the number of class association rules produced by classical class association
Jamolbek Mattiev, Branko Kavsek
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Improving the interpretability of classification rules discovered by an ant colony algorithm. [PDF]
, 2013 The vast majority of Ant Colony Optimization (ACO) al- gorithms for inducing classification rules use an ACO-based procedure to create a rule in an one-at-a-time fashion. An improved search strategy has been proposed in the cAnt- MinerPB algorithm, where
Otero, Fernando E.B. +3 more
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A Study of Different Classifier Combination Approaches for Handwritten Indic Script Recognition
Journal of Imaging, 2018 Script identification is an essential step in document image processing especially when the environment is multi-script/multilingual. Till date researchers have developed several methods for the said problem.
Anirban Mukhopadhyay +3 more
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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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A Study of Different Quality Evaluation Functions in the cAnt-MinerPB Classification Algorithm [PDF]
, 2012 Ant colony optimization (ACO) algorithms for classification in general employ a sequential covering strategy to create a list of classification rules.
Otero, Fernando E.B. +3 more
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Reducing the Complexity of Genetic Fuzzy Classifiers in Highly-Dimensional Classification Problems [PDF]
International Journal of Computational Intelligence Systems, 2012 This paper introduces the Fast Iterative Rule-based Linguistic Classifier (FaIRLiC), a Genetic Fuzzy Rule-Based Classification System (GFRBCS) which targets at reducing the structural complexity of the resulting rule base, as well as its learning ...
DimitrisG. Stavrakoudis +3 more
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A Recognition Method of Aggressive Driving Behavior Based on Ensemble Learning
Sensors, 2022 Aggressive driving behavior (ADB) is one of the main causes of traffic accidents. The accurate recognition of ADB is the premise to timely and effectively conduct warning or intervention to the driver. There are some disadvantages, such as high miss rate
Hanqing Wang +6 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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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker +11 more
wiley +1 more source
Architectures of evolving fuzzy rule-based classifiers [PDF]
, 2007 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
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