Mathematical formulation SVM Model
73140
How does a Support Vector Machine (SVM) work?
9356
Derivation of the formula for Ordinary Least Squares Linear Regression
104182
regression for binary classification
72375
Efficiently Constructing Rank One Approximations for a Matrix using SVD
17815
Understanding the minimization of mean squared error function
27388
scikit's RBM pseudo likelihood calculation
131006
What is a "model" in machine learning?
126861
Dimensionality reduction using self-organizing map
102449
Weighting features prior to SVM
32386
Fourier Transform to help guess with NonLinearModelFit
49992
SVM: Why does the number of support vectors decrease when C is increased?
4409
How does one interpret SVM feature weights?
157062
Dimensionality reduction (SVD or PCA) on a large, sparse matrix
28133
Theoretical: Minimum Number of Support Vectors
144080
Singular value decomposition of column & row vectors
11553
Why bother with the dual problem when fitting SVM?
48837
Prediction based on bayesian model