Abstract: There is provided systems and methods for training a classifier. The method comprises: obtaining a classifier for classifying data into one of a plurality of classes; retrieving training data comprising a set of observations and a set of corresponding labels, each label representing an assigned class for a corresponding observation; and applying an agent trained by a reinforcement learning system to generate labeled data from unlabeled observations and train the classifier using the training data and the labeled data according to a policy determined by the reinforcement learning system.
Type:
Grant
Filed:
June 5, 2018
Date of Patent:
November 8, 2022
Assignee:
Chatterbox Labs Limited
Inventors:
Ioannis Efstathiou, Stuart Battersby, Henrique Nunes, Zheng Yuan
Abstract: There is provided a device and method for classifying data. The device comprises a controller configured to receive data, classify the data into a first class or a second class using a first machine learning classifier, and if the data is classified into the second class, classify the data into one of a third class and a fourth class using a second machine learning classifier. The first and second machine learning classifiers have their own predefined sets of rules for classifying data.
Type:
Grant
Filed:
September 17, 2015
Date of Patent:
March 26, 2019
Assignee:
CHATTERBOX LABS LIMITED
Inventors:
Stuart Battersby, Danny Coleman, Henrique Nunes, Zheng Yuan