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公开(公告)号：US20190080000A1
公开(公告)日：2019-03-14
申请号：US16083108
申请日：2016-04-01
Applicant: Intel Corporation
Inventor： Jorge A. Munoz , James Asoka Diggs , John David Miller , Vikas Sharma
Abstract: There is disclosed in an example a computing apparatus for assigning an entropy score to a document to be added to a corpus in a first temporal state having a first corpus entropy, having one or more logic elements, including at least one hardware logic element, providing a classification engine to: receive the document to be added to the corpus; add the document to the corpus, creating a second temporal state of the corpus; compute a second corpus entropy for the second temporal state, based at least in part on a morphism; and assign the document a gentropy score based at least in part on a difference between the first corpus entropy and the second corpus entropy.
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公开(公告)号：US11250256B2
公开(公告)日：2022-02-15
申请号：US16062054
申请日：2015-12-26
Applicant: Intel Corporation
Inventor： John David Miller , James Asoka Diggs
Abstract: In an example, there is disclosed a computing apparatus for performing binary classification on a corpus of objects, having: one or more logic elements providing a classification engine to: access a training set comprising a plurality of binary classified objects, each object including one or more features, and each object designated as belonging to the class or not belonging to the class; build a model comprising a probability that each of the one or more features implies that an inspected object belongs to the class; access a particular object from the corpus; analyze the particular object to identify one or more identified features, the identified features selected form the one or more features; assign the particular object a composite score comprising a sum of the identified features; and designate the particular object as belonging to the class if and only if the composite score is above a threshold.
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公开(公告)号：US20210224534A1
公开(公告)日：2021-07-22
申请号：US16062054
申请日：2015-12-26
Applicant: Intel Corporation
Inventor： John David Miller , James Asoka Diggs
Abstract: In an example, there is disclosed a computing apparatus for performing binary classification on a corpus of objects, having: one or more logic elements providing a classification engine to: access a training set comprising a plurality of binary classified objects, each object including one or more features, and each object designated as belonging to the class or not belonging to the class; build a model comprising a probability that each of the one or more features implies that an inspected object belongs to the class; access a particular object from the corpus; analyze the particular object to identify one or more identified features, the identified features selected form the one or more features; assign the particular object a composite score comprising a sum of the identified features; and designate the particular object as belonging to the class if and only if the composite score is above a threshold.
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公开(公告)号：US10956476B2
公开(公告)日：2021-03-23
申请号：US16083108
申请日：2016-04-01
Applicant: Intel Corporation
Inventor： Jorge A. Munoz , James Asoka Diggs , John David Miller , Vikas Sharma
IPC: G06F16/00 , G06F16/35 , G06F16/93 , G06F15/16 , G06N5/02 , G06N20/00 , G06F21/55 , G06F17/11 , G06K9/00 , G06K9/62 , G06Q10/10
Abstract: There is disclosed in an example a computing apparatus for assigning an entropy score to a document to be added to a corpus in a first temporal state having a first corpus entropy, having one or more logic elements, including at least one hardware logic element, providing a classification engine to: receive the document to be added to the corpus; add the document to the corpus, creating a second temporal state of the corpus; compute a second corpus entropy for the second temporal state, based at least in part on a morphism; and assign the document a gentropy score based at least in part on a difference between the first corpus entropy and the second corpus entropy.
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