发明公开
- 专利标题: ACCELERATING DECISION TREE INFERENCES BASED ON COMPLEMENTARY TENSOR OPERATION SETS
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申请号: US17457698申请日: 2021-12-06
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公开(公告)号: US20230177120A1公开(公告)日: 2023-06-08
- 发明人: Nikolaos Papandreou , Charalampos Pozidis , Milos Stanisavljevic , Jan Van Lunteren , Thomas Parnell , Cedric Lichtenau , Andrew M. Sica
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 主分类号: G06K9/62
- IPC分类号: G06K9/62 ; G06N5/00
摘要:
A tensor representation of a machine learning inferences to be performed is built by forming complementary tensor subsets that respectively correspond to complementary subsets of one or more leaf nodes of one or more decision trees based on statistics of the one or more leaf nodes of the one or more decision trees and data capturing attributes of one or more split nodes of the one or more decision trees and the one or more leaf nodes of the decision trees. The complementary tensor subsets are ranked such that a first tensor subset and a second tensor subset of the complementary tensor subsets correspond to a first leaf node subset and a second leaf node subset of the complementary subsets of the one or more leaf nodes.
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