The decision boundaries of LDA, LR, and SVM when classifying REST against MI-GRASP.
- Xinyi Yong (715992)
- Carlo Menon (337256)
Publication date
April 2015
DOIAbstract
<p>The red and black circles represent samples from REST and MI-GRASP respectively.</p
<p>The red and black circles represent samples from REST and MI-GRASP respectively.</p
<p>We modified the toy dataset by moving the point shaded in gray to a new position indicated by an ...
<p>The figure shows the boundaries of activation clusters separately for each mathematical condition...
Multilead QRS boundaries (red dashed lines) obtained by applying post-processing selection rules ove...
<p>The red and black circles represent samples from MI-GRASP and MI-ELBOW respectively.</p
<p>Blue circles are the test samples of the first class; red stars are the test samples of the secon...
<p>Blue circles are the weight sum of the first class, blue solid line denotes the Gaussian distrib...
<p>In the above scatter plot, each point corresponds to the number of true/false votes accumulated b...
<p>The position of each diamond and triangle (representing brain volumes) relative to the decision b...
<p>Each plot represents the activity of a hypothetical cell 1 as a function of the activity of hypot...
<p>Although, SVMs work in multidimensional space where the dimensionality depends on the number voxe...
<p>Two-dimensional data points belonging to two different classes (circles and squares) are shown in...
<p>Black line with a square represents the direction of the LDA which coincides exactly with the dir...
<p>By using the feature selection methods, Adamic/Adar, Preferential attachment, Katzβ, and PropFlow...
(a-i) SVM, (b-i) Pin-SVM, (c-i) TWSVM, (d-i) THSVM, (e-i) QHSVM (τ = 0) and (f-i) QHSVM (τ = 0.5), w...
<p>Regions identified by the SVM as containing discriminative information used to consistently predi...
<p>We modified the toy dataset by moving the point shaded in gray to a new position indicated by an ...
<p>The figure shows the boundaries of activation clusters separately for each mathematical condition...
Multilead QRS boundaries (red dashed lines) obtained by applying post-processing selection rules ove...
<p>The red and black circles represent samples from MI-GRASP and MI-ELBOW respectively.</p
<p>Blue circles are the test samples of the first class; red stars are the test samples of the secon...
<p>Blue circles are the weight sum of the first class, blue solid line denotes the Gaussian distrib...
<p>In the above scatter plot, each point corresponds to the number of true/false votes accumulated b...
<p>The position of each diamond and triangle (representing brain volumes) relative to the decision b...
<p>Each plot represents the activity of a hypothetical cell 1 as a function of the activity of hypot...
<p>Although, SVMs work in multidimensional space where the dimensionality depends on the number voxe...
<p>Two-dimensional data points belonging to two different classes (circles and squares) are shown in...
<p>Black line with a square represents the direction of the LDA which coincides exactly with the dir...
<p>By using the feature selection methods, Adamic/Adar, Preferential attachment, Katzβ, and PropFlow...
(a-i) SVM, (b-i) Pin-SVM, (c-i) TWSVM, (d-i) THSVM, (e-i) QHSVM (τ = 0) and (f-i) QHSVM (τ = 0.5), w...
<p>Regions identified by the SVM as containing discriminative information used to consistently predi...
<p>We modified the toy dataset by moving the point shaded in gray to a new position indicated by an ...
<p>The figure shows the boundaries of activation clusters separately for each mathematical condition...
Multilead QRS boundaries (red dashed lines) obtained by applying post-processing selection rules ove...
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