Method for predicting events using a joint representation of different feature types
AssigneeNEC Laboratories Europe GmbH
InventorsAlberto Garcia Duran, Mathias Niepert
Life of this patent
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Abstract
A method for predicting one or more events includes generating, for features of each of at least two feature types, an intermediate representation using a representation learning model for the at least two feature types. The intermediate representations of the at least two feature types are analyzed using a neural network and at least one neural network model so as to provide a joint representation for predicting certain events. One or more actions to be taken can be determined based on the one or more events predicted by the joint representation.
Claims16
A method for predicting one or more events, the method comprising:
- a) generating, for features of each of at least two feature types, an intermediate representation using a representation learning model for the at least two feature types,
- b) analyzing the intermediate representations of the at least two feature types using a neural network and at least one neural network model so as to provide a joint representation for predicting certain events, and
- c) determining one or more actions to be taken based on the one or more events predicted by the joint representation.
(canceled)
A neural network entity for predicting certain events, comprising:
- an input interface configured to receive intermediate representations for features of each of at least two feature types which were learned using a representation learning model for the at least two feature types;
- a processing component connected to the input interface and configured to analyze the intermediate representations for the features by using at least one neural network model to generate a joint representation for predicting the certain events, based on a result of the analysis;
- and
- an output interface configured to provide the joint representation for use in predicting an existence or occurrence of at least one of the certain events.
A method for operating a neural network entity for predicting certain events, the method comprising:
- a) receiving, by an input interface, intermediate representations for features of each of at least two feature types which were learned using a representation learning model for the at least two feature types;
- b) analyzing, by a processing component of the neural network entity connected to the input interface, the intermediate representations for the features using at least one neural network model;
- c) generating, by the processing component, a joint representation for predicting the certain events, based on the result of the analysis of step b);
- and
- d) providing, by an output interface, the joint representation for use in predicting an existence or occurrence of at least one of the certain events.
Dependencies are inferred from the claim text.