# Class Mean Vectors, Self Monitoring and Self Learning for Neural Classifiers

arXiv: https://arxiv.org/abs/1910.10122 · HTML: https://mlsanity.com/paper/1910.10122/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Oct 2019.

## Built on by (most cited first, 1 of 1)

- [Computed Decision Weights and a New Learning Algorithm for Neural Classifiers](https://mlsanity.com/paper/2209.08422/) (2022)

## Abstract (arXiv)

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 without training, performance monitoring for samples without known classification, and self-training for unlabeled data. Experimental computation on a CIFAR-10 data set provides promising empirical evidence on the efficacy of a simple and widely applicable approach to some difficult problems.