公开(公告)号：US10853149B2

公开(公告)日：2020-12-01

申请号：US15571123

申请日：2015-05-19

Applicant: ENTIT Software LLC

Inventor： Fei Chen ,  Nandish Jayaram ,  Maria Teresa Gonzalez Diaz ,  Krishnamurthy Viswanathan

IPC: G06F9/44 ,  G06F9/52 ,  G06N5/04

Abstract: Example implementations relate to updating an inference graph absent node locking. For example, a processor executing a first thread may receive a first task for updating a node of an inference graph stored by a storage device accessible to a second thread, the first task being assigned during a first iteration of a graph update loop. Absent locking the node from access by the second thread, the processor may generate a value for the node and update the node with the value. Based on detecting that each node of the inference graph has been updated, the processor may continue with a second iteration of the graph update loop.

公开(公告)号：US20180173574A1

公开(公告)日：2018-06-21

申请号：US15571123

申请日：2015-05-19

Applicant: ENTIT Software LLC

Inventor： Fei Chen ,  Nandish Jayaram ,  Mara Teresa Gonzalez Diaz ,  Krishnamurthy Viswanathan

IPC: G06F9/52 ,  G06N5/04

CPC classification number: G06F9/522 ,  G06N5/04

Abstract: Example implementations relate to updating an inference graph absent node locking. For example, a processor executing a first thread may receive a first task for updating a node of an inference graph stored by a storage device accessible to a second thread, the first task being assigned during a first iteration of a graph update loop. Absent locking the node from access by the second thread, the processor may generate a value for the node and update the node with the value. Based on detecting that each node of the inference graph has been updated, the processor may continue with a second iteration of the graph update loop.

公开(公告)号：US20170372214A1

公开(公告)日：2017-12-28

申请号：US15545008

申请日：2015-01-30

Applicant: ENTIT SOFTWARE LLC

Inventor： Hao Peng ,  Manish Marwah ,  Krishnamurthy Viswanathan ,  Indrajit Roy

IPC: G06N7/00 ,  G06K9/62 ,  G06N99/00 ,  G06F17/18 ,  G06N5/04

CPC classification number: G06N7/005 ,  G06F17/18 ,  G06K9/6282 ,  G06N5/047 ,  G06N20/00

Abstract: Method, systems, and computer-readable storage devices for updating a prediction model are described. In one aspect, a statistical analysis group assignment may be received. The statistical analysis group assignment may group partition-level worker node and a first set of partition-level worker nodes as a statistical analysis group. A statistical analysis phase may then be executed where a group-level decision tree is generated from statistical data and other statistical data received from the first set of partition-level worker nodes. A decision tree analysis phase may then be executed, where a step decision tree may be generated based on a selection from the group-level tree and other group-level trees received from other statistical analysis groups. The prediction model may be caused to be updated using the step decision tree.