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System and method for prediction using synthetic features and gradient boosted decision tree

A technique of gradient and predictor, applied in the field of machine learning

Inactive Publication Date: 2018-08-31
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

thus requiring the use of computers for machine learning

Method used

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  • System and method for prediction using synthetic features and gradient boosted decision tree
  • System and method for prediction using synthetic features and gradient boosted decision tree
  • System and method for prediction using synthetic features and gradient boosted decision tree

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Embodiment Construction

[0038] For illustrative purposes, specific example embodiments will now be explained in more detail hereinafter in conjunction with the accompanying drawings.

[0039] figure 1is a block diagram of a system 100 for predicting events according to an embodiment. System 100 includes computer 102 and memory 104 . The computers 102 are illustrated as a single physical entity, but the computers 102 may also be physically dispersed and connected by a network, as may be the case for distributed computing or cluster computing. The term "computer" is intended to cover all computing devices of this type, whether large or small, distributed, clustered, or self-contained. The computer includes one or more processors, shown as a single processor 103 .

[0040] Computer 102 implements predictor 106, which may implement functions in one or more hardware, firmware, or software in conjunction with one or more processors. For example, predictor 106 may be implemented by processor 103 executi...

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Abstract

A machine learning system and method are disclosed in which a plurality of synthetic features are created from input data, and a gradient boosted decision tree algorithm is then executed by the computer to process both the synthetic features and at least some of the input data to produce an output that is a probability.

Description

[0001] cross application [0002] The present invention requires the invention titled "System and Method for Prediction Using Synthetic Features and Gradient Boosted Decision Tree (System and Method for Prediction Using Synthetic Features and Gradient Boosted Decision Tree)" filed on January 27, 2016 No. 15 / 007,593 The prior application of the United States patent case, the entire content of which is incorporated herein by reference. technical field [0003] The following is about machine learning, specifically machine learning for prediction through synthetic features and gradient boosting of decision trees. Background technique [0004] Machine learning is a type of artificial intelligence in which computers are used to learn without necessarily being explicitly programmed. For example, a computer can be used to scour data and find patterns, then automatically adjust the actions of a computer program based on the patterns found. [0005] In some applications, machine lea...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q40/02G06N20/10G06N20/20
CPCG06N3/02G06N20/00G06N20/20G06N20/10G06N5/01G06N7/01G06Q40/03
Inventor 马克斯·卡纳迪·S
Owner HUAWEI TECH CO LTD
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