3 papers
cs.LG2022
Computed Decision Weights and a New Learning Algorithm for Neural Classifiers
Eugene Wong
In this paper we consider the possibility of computing rather than training the decision layer weights of a neural classifier. Such a possibility arises in two way, from making an…
cs.LG2019
Class Mean Vectors, Self Monitoring and Self Learning for Neural Classifiers
Eugene Wong
In this paper we explore the role of sample mean in building a neural network for classification. This role is surprisingly extensive and includes: direct computation of weights wi…
cs.LG2018
Self Configuration in Machine Learning
Eugene Wong
In this paper we first present a class of algorithms for training multi-level neural networks with a quadratic cost function one layer at a time starting from the input layer. The…