Artificial neural networks (ANNs) have shown great promise in modeling circuit parameters for computer aided design applications. Leakage currents, which depend on process paramete...
Janakiraman Viraraghavan, Bharadwaj Amrutur, V. Vi...
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
This paper addresses the design and use of distributed pipelines for automated processing of sensor data streams. In particular, we focus on the detection and extraction of meanin...
Eric P. Kasten, Philip K. McKinley, Stuart H. Gage
Our argumentation system, NAG, uses Bayesian networks in a user model and in a normative model to assemble and assess arguments which balance persuasiveness with normative correct...
As information networks become ubiquitous, extracting knowledge from information networks has become an important task. Both ranking and clustering can provide overall views on in...