Multi-hop cluster hierarchy has been presented as an organization for large wireless sensor networks (WSNs) that can provide scalable routing, data aggregation, and querying. In th...
Abstract. In this work we propose a new method to create neural network ensembles. Our methodology develops over the conventional technique of bagging, where multiple classifiers ...
Reputation management schemes have recently emerged as a mechanism for improving trust and security in peer-topeer networks. A new entrant in a network with reputation management ...
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...