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.

Date of Patent:
Jun. 11, 2019

Filed:

Sep. 11, 2014
Applicant:

Amazon Technologies, Inc., Reno, NV (US);

Inventors:

Michael Brueckner, Berlin, DE;

Daniel Blick, Berlin, DE;

Assignee:

Amazon Technologies, Inc., Reno, NV (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01); G06N 20/00 (2019.01); H04L 29/08 (2006.01); G06N 7/00 (2006.01); G06N 5/02 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); H04L 67/10 (2013.01); G06K 9/6256 (2013.01); G06K 9/6269 (2013.01); G06N 5/025 (2013.01); G06N 7/005 (2013.01);
Abstract

An indication of a data source to be used to train a linear prediction model is obtained. The model is to generate predictions using respective parameters assigned to a plurality of features derived from observation records of the data source. The parameter values are stored in a parameter vector. During a particular learning iteration of the training phase of the model, one or more features for which parameters are to be added to the parameter vector are identified. In response to a triggering condition, parameters for one or more features are removed from the parameter vector based on an analysis of relative contributions of the features represented in the parameter vector to the model's predictions. After the parameters are removed, at least one parameter is added to the parameter vector.


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