SMO Algorithm for Least-Squares SVM Formulation.
S. Sathiya KeerthiShirish K. ShevadePublished in: Neural Comput. (2003)
Keyphrases
- least squares
- support vector machine svm
- dynamic programming
- np hard
- learning algorithm
- optimal parameters
- detection algorithm
- worst case
- cost function
- search space
- levenberg marquardt
- classification algorithm
- weighted least squares
- optimal solution
- k means
- support vector
- linear programming
- sparse linear
- parameter estimation
- convergence rate
- support vectors
- quadratic programming
- svm training
- decomposition algorithm
- policy iteration
- nonlinear least squares
- machine learning
- convex hull
- feature extraction
- objective function
- probabilistic model
- computational complexity