matlab—classification learner tool Search Results


90
MathWorks Inc classification learner machine learning tool
(a) Comparison of mean accuracy with standard deviations for the different <t>machine</t> <t>learning</t> <t>classification</t> methods, along with best performing subclass. Confusion matrix plots generated from a single 10 fold cross-validation run using the cubic support vector machine subclass with (b) stomach separated out into fundus, body, and antrum and (c) fundus, body, and antrum aggregated together as stomach prior to comparison to other tissues.
Classification Learner Machine Learning Tool, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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(a) Comparison of mean accuracy with standard deviations for the different <t>machine</t> <t>learning</t> <t>classification</t> methods, along with best performing subclass. Confusion matrix plots generated from a single 10 fold cross-validation run using the cubic support vector machine subclass with (b) stomach separated out into fundus, body, and antrum and (c) fundus, body, and antrum aggregated together as stomach prior to comparison to other tissues.
2022b Software Classification Learner Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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(a) Comparison of mean accuracy with standard deviations for the different <t>machine</t> <t>learning</t> <t>classification</t> methods, along with best performing subclass. Confusion matrix plots generated from a single 10 fold cross-validation run using the cubic support vector machine subclass with (b) stomach separated out into fundus, body, and antrum and (c) fundus, body, and antrum aggregated together as stomach prior to comparison to other tissues.
Classification Learner Tool A1, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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(a) Comparison of mean accuracy with standard deviations for the different <t>machine</t> <t>learning</t> <t>classification</t> methods, along with best performing subclass. Confusion matrix plots generated from a single 10 fold cross-validation run using the cubic support vector machine subclass with (b) stomach separated out into fundus, body, and antrum and (c) fundus, body, and antrum aggregated together as stomach prior to comparison to other tissues.
R2021b Classification Learner Tool, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc matlab classification learner
(a) Comparison of mean accuracy with standard deviations for the different <t>machine</t> <t>learning</t> <t>classification</t> methods, along with best performing subclass. Confusion matrix plots generated from a single 10 fold cross-validation run using the cubic support vector machine subclass with (b) stomach separated out into fundus, body, and antrum and (c) fundus, body, and antrum aggregated together as stomach prior to comparison to other tissues.
Matlab Classification Learner, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc classification learner tool matlab r2021a
(a) Comparison of mean accuracy with standard deviations for the different <t>machine</t> <t>learning</t> <t>classification</t> methods, along with best performing subclass. Confusion matrix plots generated from a single 10 fold cross-validation run using the cubic support vector machine subclass with (b) stomach separated out into fundus, body, and antrum and (c) fundus, body, and antrum aggregated together as stomach prior to comparison to other tissues.
Classification Learner Tool Matlab R2021a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc classification learner r2022b software
(a) Comparison of mean accuracy with standard deviations for the different <t>machine</t> <t>learning</t> <t>classification</t> methods, along with best performing subclass. Confusion matrix plots generated from a single 10 fold cross-validation run using the cubic support vector machine subclass with (b) stomach separated out into fundus, body, and antrum and (c) fundus, body, and antrum aggregated together as stomach prior to comparison to other tissues.
Classification Learner R2022b Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc classification learner tool
(a) Comparison of mean accuracy with standard deviations for the different <t>machine</t> <t>learning</t> <t>classification</t> methods, along with best performing subclass. Confusion matrix plots generated from a single 10 fold cross-validation run using the cubic support vector machine subclass with (b) stomach separated out into fundus, body, and antrum and (c) fundus, body, and antrum aggregated together as stomach prior to comparison to other tissues.
Classification Learner Tool, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/classification learner tool/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
classification learner tool - by Bioz Stars, 2026-03
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MathWorks Inc 2020b classification learner tool
(a) Comparison of mean accuracy with standard deviations for the different <t>machine</t> <t>learning</t> <t>classification</t> methods, along with best performing subclass. Confusion matrix plots generated from a single 10 fold cross-validation run using the cubic support vector machine subclass with (b) stomach separated out into fundus, body, and antrum and (c) fundus, body, and antrum aggregated together as stomach prior to comparison to other tissues.
2020b Classification Learner Tool, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/2020b classification learner tool/product/MathWorks Inc
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MathWorks Inc categorical classification learner
(a) Comparison of mean accuracy with standard deviations for the different <t>machine</t> <t>learning</t> <t>classification</t> methods, along with best performing subclass. Confusion matrix plots generated from a single 10 fold cross-validation run using the cubic support vector machine subclass with (b) stomach separated out into fundus, body, and antrum and (c) fundus, body, and antrum aggregated together as stomach prior to comparison to other tissues.
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Image Search Results


(a) Comparison of mean accuracy with standard deviations for the different machine learning classification methods, along with best performing subclass. Confusion matrix plots generated from a single 10 fold cross-validation run using the cubic support vector machine subclass with (b) stomach separated out into fundus, body, and antrum and (c) fundus, body, and antrum aggregated together as stomach prior to comparison to other tissues.

Journal: Journal of Electrical Bioimpedance

Article Title: Electrical Impedance Characterization of in Vivo Porcine Tissue Using Machine Learning

doi: 10.2478/joeb-2021-0005

Figure Lengend Snippet: (a) Comparison of mean accuracy with standard deviations for the different machine learning classification methods, along with best performing subclass. Confusion matrix plots generated from a single 10 fold cross-validation run using the cubic support vector machine subclass with (b) stomach separated out into fundus, body, and antrum and (c) fundus, body, and antrum aggregated together as stomach prior to comparison to other tissues.

Article Snippet: The validity of utilizing impedance for tissue differentiation was evaluated using the MATLAB classification learner machine learning tool.

Techniques: Comparison, Generated, Biomarker Discovery, Plasmid Preparation