The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jan. 17, 2023
Filed:
Mar. 06, 2020
International Business Machines Corporation, Armonk, NY (US);
Peter Willem Jan Staar, Wädenswil, CH;
Michele Dolfi, Zurich, CH;
Christoph Auer, Zurich, CH;
Leonidas Georgopoulos, Zurich, CH;
Ralf Kaestner, Othmarsingen, CH;
Alexander Velizhev, Oberrieden, CH;
Dal Noguer Hidalgo, Zurich, CH;
Rita Kuznetsova, Zurich, CH;
Konstantinos Bekas, Horgen, CH;
International Business Machines Corporation, Armonk, NY (US);
Abstract
A computer-implemented method for determining a set of target items to be annotated for training a machine learning application. The method comprises providing a training data set with a set of data samples and an auto-encoder with a classifier. The auto-encoder comprises an embedding model that maps the set of data samples to a set of compressed feature vectors. The set of compressed feature vectors define a compressed feature matrix. Further provided are: a definition of a graph associated to the compressed feature matrix, applying a clustering-algorithm to identify node clusters of the graph and applying a centrality algorithm to identify central nodes of the node clusters, retrieving from an annotator node labels for the central nodes, propagating the annotated node labels to other nodes of the graph and performing a training of the embedding model and the classifier with the annotated and the propagated node labels.