(57) ABSTRACT A method of modelling data, comprising: training an objec tive function of a
linear classifier, based on a set of labeled data, to derive a set of classifier weights; defining …

(57) ABSTRACT A method of transfer learning includes receiving second data and
generating, via a first network, second labels for the second data. In one configuration, the …

Techniques regarding autonomously facilitating the selec tion of one or more transfer
models to enhance the perfor mance of one or more machine learning tasks are provided …

In camera-based object labeling, boost classifier ƒ T (x)= Σ r= 1 M β rhr (x) is trained to
classify an image represented by feature vector x using a target domain training set DT of …

Example aspects of the present disclosure are directed to systems and methods that employ
a machine-learned opinion classification model to classify portions (eg, sentences, phrases …

A system to create a stacked classifier model combination or classifier ensemble has been
designed for identification of undisclosed flaws in software components on a large-scale …

Techniques for using logit values for classifying utterances and messages input to chatbot
systems in natural language processing. A method can include a chatbot system receiving …

Hybrid quantum-classical approaches for solving computational problems in which results
from a quantum processor are combined with an exact method executed on a classical …

2021-09-20 Assigned to D-WAVE SYSTEMS INC. reassignment D-WAVE SYSTEMS INC.
CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNEE (REMOVE COMMA) …

GO6F 17/00(2019.01) GOOF 40/14(2020.01) H04L 29/08(2006.01) G06K 9/62(2006.01)(52)
US CI. CPC GO6F 40/14 (2020.01); G06K 9/6267 (2013.01); H04L 67/02 (2013.01)(58) …