Techniques are provided herein for utilizing a classification engine to improve a
classification model. For example, a classification engine may derive a statistical model …

(57) ABSTRACT A method of map** data items to sparse distributed representations
(SDRs) includes clustering in a two-dimen sional metric space, by a reference map …

(57) ABSTRACT A method comprises receiving a network of a plurality of nodes and a
plurality of edges, each of the nodes comprising members representative of at least one …

Systems and methods for simplifying data structuring in a database by applying a first
content structure to interrelate a plurality of data packets and refining the interrelations …

G09B7/06—Electrically-operated teaching apparatus or devices working with questions and
answers of the multiple-choice answer-type, ie where a given question is provided with a …

US10290223B2 - Predictive recommendation engine - Google Patents US10290223B2 -
Predictive recommendation engine - Google Patents Predictive recommendation engine …

US10572221B2 - Methods and systems for identifying a level of similarity between a plurality of
data representations - Google Patents US10572221B2 - Methods and systems for identifying a …

Machine learning classification models which are robust against label noise are provided.
Noise may be modelled explicitly by modelling" label flips”, where incorrect binary labels are …

Systems, methods, and products for language learning may extract text from various
resources having text, using vari ous natural-language processing features, which can be …

(57) ABSTRACT A systems, methods, and products for language learning Software that
automatically extracts text from corpora using various natural-language processing product …