svm classification analysis Search Results


linear support vector machine (svm) classifiers  (MathWorks Inc)
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matlab software  (MathWorks Inc)
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MathWorks Inc matlab software
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k-nearest neighbor (knn)  (Partek)
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svm classification analysis  (MathWorks Inc)
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MathWorks Inc svm classification analysis
Mean <t> SVM classification </t> accuracy at each age after 1,000 <t> bootstrapped </t> runs, classifying α-synuclein rats and control rats into their correct class, when all electrodes were included in the analysis.
Svm Classification Analysis, 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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svm classifiers  (MiniMed Inc)
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MiniMed Inc svm classifiers
Mean <t> SVM classification </t> accuracy at each age after 1,000 <t> bootstrapped </t> runs, classifying α-synuclein rats and control rats into their correct class, when all electrodes were included in the analysis.
Svm Classifiers, supplied by MiniMed 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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svm classification analysis  (SAS institute)
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SAS institute svm classification analysis
Mean <t> SVM classification </t> accuracy at each age after 1,000 <t> bootstrapped </t> runs, classifying α-synuclein rats and control rats into their correct class, when all electrodes were included in the analysis.
Svm Classification Analysis, supplied by SAS institute, 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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statistics and machine learning toolbox  (MathWorks Inc)
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MathWorks Inc statistics and machine learning toolbox
Mean <t> SVM classification </t> accuracy at each age after 1,000 <t> bootstrapped </t> runs, classifying α-synuclein rats and control rats into their correct class, when all electrodes were included in the analysis.
Statistics And Machine Learning 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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svm linear discriminant analysis  (RStudio)
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RStudio svm linear discriminant analysis
Mean <t> SVM classification </t> accuracy at each age after 1,000 <t> bootstrapped </t> runs, classifying α-synuclein rats and control rats into their correct class, when all electrodes were included in the analysis.
Svm Linear Discriminant Analysis, supplied by RStudio, 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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svm classifier built-in implementation  (MathWorks Inc)
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MathWorks Inc svm classifier built-in implementation
Mean <t> SVM classification </t> accuracy at each age after 1,000 <t> bootstrapped </t> runs, classifying α-synuclein rats and control rats into their correct class, when all electrodes were included in the analysis.
Svm Classifier Built In Implementation, 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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svm classifier implementation  (SourceForge net)
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SourceForge net svm classifier implementation
Mean <t> SVM classification </t> accuracy at each age after 1,000 <t> bootstrapped </t> runs, classifying α-synuclein rats and control rats into their correct class, when all electrodes were included in the analysis.
Svm Classifier Implementation, supplied by SourceForge net, 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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consensus cognitive battery  (Matrics Inc)
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Matrics Inc consensus cognitive battery
Mean <t> SVM classification </t> accuracy at each age after 1,000 <t> bootstrapped </t> runs, classifying α-synuclein rats and control rats into their correct class, when all electrodes were included in the analysis.
Consensus Cognitive Battery, supplied by Matrics 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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Image Search Results


Mean SVM classification accuracy at each age after 1,000 bootstrapped runs, classifying α-synuclein rats and control rats into their correct class, when all electrodes were included in the analysis.

Journal: Scientific Reports

Article Title: Classification of α-synuclein-induced changes in the AAV α-synuclein rat model of Parkinson’s disease using electrophysiological measurements of visual processing

doi: 10.1038/s41598-020-68808-3

Figure Lengend Snippet: Mean SVM classification accuracy at each age after 1,000 bootstrapped runs, classifying α-synuclein rats and control rats into their correct class, when all electrodes were included in the analysis.

Article Snippet: We bootstrapped a SVM classification analysis in MATLAB 2018a using LIBSVM, ver.

Techniques: Control

Histogram plots of classification accuracy across 1,000 bootstrapped SVM classifications. The SVM is highly accurate in classifying between α-synuclein and control rats at each week, when all electrodes are included in the analysis. Virtually no classification runs occurred below the 50% baseline. Plots of classification accuracy after shuffling labels are included (dotted lines). Here, accuracies fell around the 50% baseline.

Journal: Scientific Reports

Article Title: Classification of α-synuclein-induced changes in the AAV α-synuclein rat model of Parkinson’s disease using electrophysiological measurements of visual processing

doi: 10.1038/s41598-020-68808-3

Figure Lengend Snippet: Histogram plots of classification accuracy across 1,000 bootstrapped SVM classifications. The SVM is highly accurate in classifying between α-synuclein and control rats at each week, when all electrodes are included in the analysis. Virtually no classification runs occurred below the 50% baseline. Plots of classification accuracy after shuffling labels are included (dotted lines). Here, accuracies fell around the 50% baseline.

Article Snippet: We bootstrapped a SVM classification analysis in MATLAB 2018a using LIBSVM, ver.

Techniques: Control

Mean SVM classification accuracy at each timepoint after 1,000 bootstrapped runs, comparing between the superior colliculus electrode ipsilateral to the injection and superior colliculus electrode contralateral to the injection within α-synuclein rats.

Journal: Scientific Reports

Article Title: Classification of α-synuclein-induced changes in the AAV α-synuclein rat model of Parkinson’s disease using electrophysiological measurements of visual processing

doi: 10.1038/s41598-020-68808-3

Figure Lengend Snippet: Mean SVM classification accuracy at each timepoint after 1,000 bootstrapped runs, comparing between the superior colliculus electrode ipsilateral to the injection and superior colliculus electrode contralateral to the injection within α-synuclein rats.

Article Snippet: We bootstrapped a SVM classification analysis in MATLAB 2018a using LIBSVM, ver.

Techniques: Injection

Histogram plots of classification accuracy across 1,000 bootstrapped SVM classifications. The SVM was able to classify between the (treated) left superior colliculus and the (untreated) right superior colliculus within α-synuclein rats, except at week 10. Plots of classification accuracy after shuffling labels are included. Here, accuracies fell around the 50% baseline.

Journal: Scientific Reports

Article Title: Classification of α-synuclein-induced changes in the AAV α-synuclein rat model of Parkinson’s disease using electrophysiological measurements of visual processing

doi: 10.1038/s41598-020-68808-3

Figure Lengend Snippet: Histogram plots of classification accuracy across 1,000 bootstrapped SVM classifications. The SVM was able to classify between the (treated) left superior colliculus and the (untreated) right superior colliculus within α-synuclein rats, except at week 10. Plots of classification accuracy after shuffling labels are included. Here, accuracies fell around the 50% baseline.

Article Snippet: We bootstrapped a SVM classification analysis in MATLAB 2018a using LIBSVM, ver.

Techniques: