Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
This article describes a robotic adaptive learning appliance called Robo-eLC. The appliance is the result of a multidisciplinary approach which combines e-Learning and e-Commerce ...
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
In this paper we describe JClarens; a Java based implementation of the Clarens remote data server. JClarens provides web services for an interactive analysis environment to dynami...
Arshad Ali, Ashiq Anjum, Tahir Azim, Michael Thoma...
We present a field study of an organisation which designs and constructs precision mechatronic devices, which typically integrate electronics, mechanical assemblies, computer hardw...