svm (linear kernel) model Search Results


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MathWorks Inc svm kernels
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MathWorks Inc svm (linear kernel)
Comparative studies of machine learning approaches in speech recording to diagnose PD.
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Comparative studies of machine learning approaches in speech recording to diagnose PD.
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Comparative studies of machine learning approaches in speech recording to diagnose PD.
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Comparative studies of machine learning approaches in speech recording to diagnose PD.
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Comparative studies of machine learning approaches in speech recording to diagnose PD.
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MathWorks Inc svm classifiers (linear kernel)
Comparative studies of machine learning approaches in speech recording to diagnose PD.
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Image Search Results


Comparative studies of machine learning approaches in speech recording to diagnose PD.

Journal: Diagnostics

Article Title: Imperative Role of Machine Learning Algorithm for Detection of Parkinson’s Disease: Review, Challenges and Recommendations

doi: 10.3390/diagnostics12082003

Figure Lengend Snippet: Comparative studies of machine learning approaches in speech recording to diagnose PD.

Article Snippet: Oliveira et al., 2017 [ ] , SVM with linear kernel, logistic regression with LOOCV, KNN , Classification of PD from HC , C++ Programming language and MATLAB R2014a , PPMI database , 652, 443 PD + 209 HC , SVM (linear kernel) with highest accuracy rate—97.9%.

Techniques: Biomarker Discovery, Control

Comparative studies of machine learning approaches in handwritten patterns to diagnose PD.

Journal: Diagnostics

Article Title: Imperative Role of Machine Learning Algorithm for Detection of Parkinson’s Disease: Review, Challenges and Recommendations

doi: 10.3390/diagnostics12082003

Figure Lengend Snippet: Comparative studies of machine learning approaches in handwritten patterns to diagnose PD.

Article Snippet: Oliveira et al., 2017 [ ] , SVM with linear kernel, logistic regression with LOOCV, KNN , Classification of PD from HC , C++ Programming language and MATLAB R2014a , PPMI database , 652, 443 PD + 209 HC , SVM (linear kernel) with highest accuracy rate—97.9%.

Techniques: Biomarker Discovery

Comparative studies of machine learning approaches in gait dataset to diagnose PD.

Journal: Diagnostics

Article Title: Imperative Role of Machine Learning Algorithm for Detection of Parkinson’s Disease: Review, Challenges and Recommendations

doi: 10.3390/diagnostics12082003

Figure Lengend Snippet: Comparative studies of machine learning approaches in gait dataset to diagnose PD.

Article Snippet: Oliveira et al., 2017 [ ] , SVM with linear kernel, logistic regression with LOOCV, KNN , Classification of PD from HC , C++ Programming language and MATLAB R2014a , PPMI database , 652, 443 PD + 209 HC , SVM (linear kernel) with highest accuracy rate—97.9%.

Techniques: Activity Assay