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Search Results - Classification three
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Improving machine learning techniques for influenza-A classification
Published 2016“…(c) Testing the method on antiviral resistance identification of Influenza-A, showed promising results: Using the most 100 informative positions with DTs yielded an overall performance of not less than 95%, in not more than 3 seconds for all 8 segments. The method has the potential to improve the efficiency of other Influenza-A classification problems, as well as other viral classification problems in the Bioinformatics field. …”
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The genus Leptographium : a critical taxonomic analysis
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ADR-Miner: An Ant-based data reduction algorithm for classification
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Development of an acoustic classification system for predicting rock structural stability
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Decision tree development for land cover classification in the Eastern Cape
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Radar-Based Multi-Target Classification Using Deep Learning
Published 2023“…An improvement in accuracy and speed of classification helps surveillance systems to provide reliable results on time. …”
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SALT spectroscopy and classification of supernova spectra using Bayesian techniques
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Recognizing contextual valence shifters in document-level sentiment classification
Published 2012“…One of the major tasks of sentiment classification is to classify a document (i.e. a blog, news article or review) as holding an overall positive or negative sentiment. …”
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Analysis of the variances of South African pig carcass classification parameters
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The role of features in predictive deep learning models for auditory tuberculosis classification
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Classification of timber from Pinus radiata trees exposed to forest fires
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The holocene ostracods of the Agulhas Bank, South Africa : their classification, distribution and ecology
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L-classifier chains classification and variable selection for multi-label datasets
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Classification of Fallow and Perennial Fields in High-Resolution Multispectral Aerial Images
Published 2021“…In the second approach, a set of images is used to generate a texton dictionary from which exemplar texture probabilistic models are learnt. Three transform-based techniques are applied for computing texture features. …”
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Die tipering van verbruikerslewenstyle
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Taxonomy of the subgenera Thermobacterium and Streptobacterium (Groups I and II) of the genus Lactobacillus
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Land cover mapping through optimizing remote sensing data for SVM classification
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A comparative evaluation of data mining classification techniques on medical trauma data
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An evaluation of Landsat MSS data for ecological land classification and mapping in the Northern Cape
Published 2017“…This paper examines the issues that arise in the use of visual interpretation of Landsat data during the analysis, classification and mapping of the natural vegetation of the semi-arid Northern Cape. …”
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