Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
-In high performance systems, process variations and fluctuations of operating environments have significant impact on the clock skew. Recently, hybrid structures of H-tree and m...
—The proliferation of wireless systems requires that the coexistence between heterogeneous technologies be addressed. This paper presents a cognitive framework in which sensingba...
We consider the power optimization problem of maximizing the sum rate of a symmetric network of interfering links in Gaussian noise. All transmitters have an average transmit power...
Sibi Raj Bhaskaran, Stephen V. Hanly, Nasreen Badr...
When we have several related tasks, solving them simultaneously is shown to be more effective than solving them individually. This approach is called multi-task learning (MTL) and...