Sensitivity analysis is a method for extracting the cause and effect relationship between the inputs and outputs of the network. After training a neural network, one may want to k...
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
We address the problem of power estimation at the register-transfer level (RTL). At this level, the circuit is described in terms of a set of interconnected memory elements and co...
In this paper we present the work undertaken by the Advanced Interfaces Group at the University of Manchester into the design and development of a system to support large numbers ...
Steve Pettifer, Jonathan Cook, James Marsh, Adrian...
Annotated speech corpora are databases consisting of signal data along with time-aligned symbolic ‘transcriptions’. Such databases are typically multidimensional, heterogeneou...