Instance weighted learning machine learning model
US8788439B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 21, 2012 |
| Grant date | Jul 22, 2014 |
| Priority date | — |
| Expiry date | Dec 21, 2032 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/1097
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An instance weighted learning (IWL) machine learning model. In one example embodiment, a method of employing an IWL machine learning model to train a classifier may include determining a quality value that should be associated with each machine learning training instance in a temporal sequence of reinforcement learning machine learning training instances, associating the corresponding determined quality value with each of the machine learning training instances, and training a classifier using each of the machine learning training instances. Each of the machine learning training instances includes a state-action pair and is weighted during the training based on its associated quality value using a weighting factor that weights different quality values differently such that the classifier learns more from a machine learning training instance with a higher quality value than from a machine learning training instance with a lower quality value.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.