Simple Proof of Convergence of the SMO Algorithm for Different SVM Variants.
Jorge López LázaroJosé R. DorronsoroPublished in: IEEE Trans. Neural Networks Learn. Syst. (2012)
Keyphrases
- support vector machine svm
- provably correct
- optimal solution
- classification algorithm
- optimal parameters
- simulated annealing
- iterative algorithms
- learning algorithm
- convergence property
- worst case
- sequential minimal optimization
- preprocessing
- optimization algorithm
- rapid convergence
- cost function
- classification method
- maximum variance
- matching algorithm
- expectation maximization
- semi supervised
- knn
- probabilistic model
- dynamic programming
- training set
- support vector