Instance Weighted Learning Machine Learning Model


Ontology type: sgo:Patent     


Patent Info

DATE

N/A

AUTHORS

Tony Ramon Martinez , Xinchuan Zeng

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. More... »

Related SciGraph Publications

  • 1988-08. Learning to predict by the methods of temporal differences in MACHINE LEARNING
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  • 2003-12. Generalized rules for combination and joint training of classifiers in PATTERN ANALYSIS AND APPLICATIONS
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