Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
Uncovering, modelling, and understanding architectural level dependencies of software systems is a key task for software maintainers. However, current dependency analysis techniqu...
Abstract-- This paper concerns the multiple access performance of spreading codes used in the downlink of multicarrier code-division multiple-access (MC-CDMA). Complex-valued sprea...
The objective of the present paper is to select the best compromise irrigation planning strategy for the case study of Jayakwadi irrigation project, Maharashtra, India. Four-phase...
K. Srinivasa Raju, D. Nagesh Kumar, Lucien Duckste...