Introduction to the theory of neural computation
Introduction to the theory of neural computation
Feature handling in learning algorithms
Dynamic interactions in neural networks
On certain generalizations of inner product similarity measures
Journal of the American Society for Information Science - Special issue on user-centered cooperative systems
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
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A heuristic method (computation of weighted averages) is considered for risk analysis. It is improved upon by utilizing the Perceptron Learning Theorem and Quadratic Programming. Experimental work shows that both techniques give good results, the former one being somewhat more efficient in terms of CPU-time used. In spite of certain theoretical shortcomings it is argued that the familiar paradigm offers considerable potential for practical applications.