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Found 3 papers, 0 papers with code
A Novel Approach to Distributed Multi-Class SVM
With data sizes constantly expanding, and with classical machine learning algorithms that analyze such data requiring larger and larger amounts of computation time and storage space, the need to distribute computation and memory requirements among several computers has become apparent.
Hybrid Approach for Inductive Semi Supervised Learning using Label Propagation and Support Vector Machine
Semi supervised learning methods have gained importance in today's world because of large expenses and time involved in labeling the unlabeled data by human experts.
Centroid Based Binary Tree Structured SVM for Multi Classification
In this we build a binary tree of SVM models based on the similarity of the class labels by finding their distance from the corresponding centroids at the root level.
