In this chapter we present a general purpose neural architecture for segmenting 2-D and 3-D medical images. The architecture is based on a continuous Hopfield neural network including one or more sets...
In this chapter we present a general purpose neural architecture for segmenting 2-D and 3-D medical images. The architecture is based on a continuous Hopfield neural network including one or more sets...
We begin with a few historical remarks about what might be called the regularization class of statistical model building methods, which include penalized likelihood, support vector machines, robust an...
Minimal Polynomial Logic (MPL) is a generalisation of classical propositional logic which allows truth values in the continuous interval [0; 1] and in which propositions are represented by multi-varia...
Minimal Polynomial Logic (MPL) is a generalisation of classical propositional logic which allows truth values in the continuous interval [0; 1] and in which propositions are represented by multi-varia...
Minimal Polynomial Logic (MPL) is a generalisation of classical propositional logic which allows truth values in the continuous interval [0; 1] and in which propositions are represented by multi-varia...