A novel classification technique based on progressive transductive SVM learning ?
A novel classification technique based on transductive SVM learning is presented. The paper pointed out the drawbacks of the existing literature methods. To mitigate drawbacks, here we exploit SVM, k-nn classifiers and cluster assumption. Results were compared with two other TSVM methods existing in the literature. Experimental results confirmed the effectiveness of the proposed technique.
cluster assumption k-nearest neighbors semisupervised classification support vector machine transductive inference