lda classifier Search Results


90
Lotte Chemical Corporation linear svm classifier
Classification accuracy (%) achieved by using the voting of linear <t> SVM </t> and <t> LDA </t> classifiers on the test dataset for two subjects .
Linear Svm Classifier, supplied by Lotte Chemical Corporation, 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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Average 90 stars, based on 1 article reviews
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90
DWK Life Sciences lda classifier
Classification accuracy (%) achieved by using the voting of linear <t> SVM </t> and <t> LDA </t> classifiers on the test dataset for two subjects .
Lda Classifier, supplied by DWK Life Sciences, 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/lda classifier/product/DWK Life Sciences
Average 90 stars, based on 1 article reviews
lda classifier - by Bioz Stars, 2026-04
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90
ImmunArray lda classifier algorithm
Classification accuracy (%) achieved by using the voting of linear <t> SVM </t> and <t> LDA </t> classifiers on the test dataset for two subjects .
Lda Classifier Algorithm, supplied by ImmunArray, 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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Average 90 stars, based on 1 article reviews
lda classifier algorithm - by Bioz Stars, 2026-04
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NinePoint lda classifier
Classification accuracy (%) achieved by using the voting of linear <t> SVM </t> and <t> LDA </t> classifiers on the test dataset for two subjects .
Lda Classifier, supplied by NinePoint, 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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Average 90 stars, based on 1 article reviews
lda classifier - by Bioz Stars, 2026-04
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90
SAS institute lda classifiers
Classification accuracy (%) achieved by using the voting of linear <t> SVM </t> and <t> LDA </t> classifiers on the test dataset for two subjects .
Lda Classifiers, 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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Average 90 stars, based on 1 article reviews
lda classifiers - by Bioz Stars, 2026-04
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90
SAS institute lda classifier model
Classification accuracy (%) achieved by using the voting of linear <t> SVM </t> and <t> LDA </t> classifiers on the test dataset for two subjects .
Lda Classifier Model, 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
https://www.bioz.com/result/lda classifier model/product/SAS institute
Average 90 stars, based on 1 article reviews
lda classifier model - by Bioz Stars, 2026-04
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Image Search Results


Classification accuracy (%) achieved by using the voting of linear  SVM  and  LDA  classifiers on the test dataset for two subjects .

Journal: Frontiers in Neuroscience

Article Title: Selection of Efficient Features for Discrimination of Hand Movements from MEG Using a BCI Competition IV Data Set

doi: 10.3389/fnins.2012.00042

Figure Lengend Snippet: Classification accuracy (%) achieved by using the voting of linear SVM and LDA classifiers on the test dataset for two subjects .

Article Snippet: The result of the proposed algorithm on the cross-validation data showed that the linear SVM and LDA classifiers (Lotte et al., ) had better accuracy than other classifiers, such as quadratic and Mahalanobis classifiers.

Techniques:

Classification accuracy (%) achieved by using different feature sets on the cross-validation and test data for subject 1 .

Journal: Frontiers in Neuroscience

Article Title: Selection of Efficient Features for Discrimination of Hand Movements from MEG Using a BCI Competition IV Data Set

doi: 10.3389/fnins.2012.00042

Figure Lengend Snippet: Classification accuracy (%) achieved by using different feature sets on the cross-validation and test data for subject 1 .

Article Snippet: The result of the proposed algorithm on the cross-validation data showed that the linear SVM and LDA classifiers (Lotte et al., ) had better accuracy than other classifiers, such as quadratic and Mahalanobis classifiers.

Techniques:

Classification accuracy (%) achieved by using different feature sets on the cross-validation and test data for subject 2 .

Journal: Frontiers in Neuroscience

Article Title: Selection of Efficient Features for Discrimination of Hand Movements from MEG Using a BCI Competition IV Data Set

doi: 10.3389/fnins.2012.00042

Figure Lengend Snippet: Classification accuracy (%) achieved by using different feature sets on the cross-validation and test data for subject 2 .

Article Snippet: The result of the proposed algorithm on the cross-validation data showed that the linear SVM and LDA classifiers (Lotte et al., ) had better accuracy than other classifiers, such as quadratic and Mahalanobis classifiers.

Techniques: