Supervised learning with a quantum classifier using multi-level systems

Multi-Classifier Adaptive Training: Specialising an Activity Recognition Classifier Using Semi-supervised Learning

When an activity recognition classifier is deployed to be used with a particular user, its performance can often be improved by adapting it to that user. To improve the classifier, we propose a novel semisupervised Multi-Classifier Adaptive Training algorithm (MCAT) that uses four classifiers. First, the General classifier is trained on the labelled data available before deployment. Second, the...

Classifier Learning with Supervised Marginal Likelihood

It has been argued that in supervised classification tasks it may be more sensible to perform model selection with respect to a more focused model selection score, like the supervised (conditional) marginal likelihood, than with respect to the standard unsupervised marginal likelihood criterion. However, for most Bayesian network models, computing the supervised marginal likelihood score takes ...

A Gaussian Mixture Model Classifier Using Supervised And Unsupervised Learning

Topic category: 7. Image and Multi-dimensional Signal Processing 9. Statistical Signal & Array Processing This paper presents an algorithm for a maximum likelihood estimation (MLE) classiier, using Gaussian mixture models (GMMs), incorporating a combination of supervised and unsupervised training. This will enable the use of data for which no ground truth class labels are available, to improve ...

Supervised Learning Classifier Systems for Grid Data Mining

This paper explores parallel and distributed implementation of the Learning Classifier System (LCS) technology. Specifically, the adaptation of supervised LCS to the grid data mining requisites, using the agent paradigm, is studied. The paper also examines the competitive data mining model induction possibility with homogeneous and heterogeneous data. A distributed framework is proposed using t...

Robot Learning using Learning Classifier Systems Approach