As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
The performance of a sensor network may be best judged by the quality of application specific information return. The actual sensing performance of a deployed sensor network depe...
Aman Kansal, Eric Yuen, William J. Kaiser, Gregory...
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
Abstract— Hybrid Wireless Mesh Networks (WMN) are generally employed to establish communication during disaster recovery operations. The Hybrid WMN network is formed in a spontan...
Asad Amir Pirzada, Ryan Wishart, Marius Portmann, ...