Safe exchange is a key issue in multiagent systems, especially in electronic transactions where nondelivery is a major problem. In this paper we present a unified framework for mo...
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
Abstract- We investigate cooperative wireless relay networks in which the nodes can help each other in data transmission. We study different coding strategies in the single-source ...
The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML app...