Abstract. We propose a non-standard neural network called TPNN which offers the direct mapping from a peptide sequence to a property of interest in order to model the quantitative ...
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is ...
Information visualization faces challenges presented by the need to represent abstract data and the relationships within the data. Previously, we presented a system for visualizin...
Ed Huai-hsin Chi, John Riedl, Elizabeth Shoop, Joh...
Since the classical work of D. O. Hebb [1] it has been assumed that synaptic plasticity solely depends on the activity of the pre- and the postsynaptic cell. Synapses influence th...
Abstract. As semiconductor technology strides towards billions of transistors on a single die, problems concerned with deep sub-micron process features and design productivity call...
Josep Carmona, Jordi Cortadella, Victor Khomenko, ...