Results 31 to 40 of about 66,699 (304)
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
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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
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Using a unified measure function for heuristics, discretization, and rule quality evaluation in Ant-Miner [PDF]
, 2013 Ant-Miner is a classification rule discovery algorithm that is based on Ant Colony Optimization (ACO) meta-heuristic. cAnt-Miner is the extended version of the algorithm that handles continuous attributes on-the-fly during the rule construction process ...
Otero, Fernando E.B. +3 more
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Extracting Explicable Rules for the Identification of Compound–Protein Interactions
IEEE Access, 2020 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
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Constructing decision rules from naive bayes model for robust and low complexity classification
IJAIN (International Journal of Advances in Intelligent Informatics), 2021 A large spectrum of classifiers has been described in the literature. One attractive classification technique is a Naïve Bayes (NB) which has been relayed on probability theory.
Nabeel Hashim Al-Aaraji +2 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
openaire +1 more source
Swarm-Based Machine Learning Algorithm for Building Interpretable Classifiers
IEEE Access, 2020 This paper aims to produce classifiers that are not only accurate but also interpretable to decision makers. The classifiers are represented in the form of risk scores, i.e.
Diem Pham +3 more
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Robust rule-based prediction [PDF]
, 2006 This paper studies a problem of robust rule-based classification, i.e. making predictions in the presence of missing values in data. This study differs from other missing value handling research in that it does not handle missing values but builds a rule
Li, Jiuyong, Li, J.
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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
openaire +5 more sources
Using online linear classifiers to filter spam Emails [PDF]
, 2007 The performance of two online linear classifiers - the Perceptron and Littlestone’s Winnow – is explored for two anti-spam filtering benchmark corpora - PU1 and Ling-Spam.
Jones, Gareth J.F. +2 more
core +1 more source