In this chapter, we discuss a widely used fault-tolerant data replication model called virtual synchrony. The model responds to two kinds of needs. First, there is the practical qu...
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
ion Techniques for Validation Coverage Analysis and Test Generation Dinos Moundanos, Jacob A. Abraham, Fellow, IEEE, and Yatin V. Hoskote —The enormous state spaces which must be...
Dinos Moundanos, Jacob A. Abraham, Yatin Vasant Ho...
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...