Results 21 to 30 of about 21,772 (300)
Classifying 1-handles attached to knotted surfaces [PDF]
Transactions of the American Mathematical Society, 1988 We study a method of obtaining knotted surfaces in the 4 4 -sphere
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A Novel Integrated Classifier for Handling Data Warehouse Anomalies [PDF]
, 2011 Within databases employed in various commercial sectors, anomalies continue to persist and hinder the overall integrity of data. Typically, Duplicate, Wrong and Missed observations of spatial-temporal data causes the user to be not able to accurately utilise recorded information.
Peter Darcy +2 more
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Multi-test Decision Tree and its Application to Microarray Data Classification [PDF]
, 2014 Objective: The desirable property of tools used to investigate biological data is easy to understand models and predictive decisions. Decision trees are particularly promising in this regard due to their comprehensible nature that resembles the ...
Marcin Czajkowski +5 more
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Open Linguistics, 2019 We analyze argument structure of whole-entity and handling classifier predicates in four sign languages (Russian Sign Language, Sign Language of the Netherlands, German Sign Language, and Kata Kolok) using parallel datasets (retellings of the Canary Row ...
Kimmelman Vadim +6 more
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Classification Methods Performance On Logistic Package State Recognition
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023 In the distribution sector, logistic package experience activities, such as transport, distribution, storage, packaging, and handling. Even though those processes have reasonable operational procedures, sometimes the package experience mishandling.
Muhammad Auzan +3 more
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A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data [PDF]
IEEE Transactions on Cybernetics, 2020 The performance of a classifier might greatly deteriorate due to missing data. Many different techniques to handle this problem have been developed. In this paper, we solve the problem of missing data using a novel transfer learning perspective and show that when an additive least squares support vector machine (LS-SVM) is adopted, model transfer ...
Guanjin Wang +3 more
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Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery. [PDF]
, 2013 The cAnt-Miner algorithm is an Ant Colony Optimization (ACO) based technique for classification rule discovery in problem domains which include continuous attributes. In this paper, we propose several extensions to cAnt- Miner.
Otero, Fernando E.B. +3 more
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Sensors, 2023 The Internet of Things (IoT) is the most abundant technology in the fields of manufacturing, automation, transportation, robotics, and agriculture, utilizing the IoT’s sensors-sensing capability.
Tejal Rathod +7 more
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A New Under-Sampling Method to Face Class Overlap and Imbalance
Applied Sciences, 2020 Class overlap and class imbalance are two data complexities that challenge the design of effective classifiers in Pattern Recognition and Data Mining as they may cause a significant loss in performance.
Angélica Guzmán-Ponce +3 more
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Wasit Journal of Computer and Mathematics Science, 2021 Network Intrusion Detection System (NIDS) detects normal and malicious behavior by analyzing network traffic, this analysis has the potential to detect novel attacks especially in IoT environments. Deep Learning (DL)has proven its outperformance compared
Rawaa Ismael Farhan +2 more
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