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1.发明申请INCREASING SIGNAL TO NOISE RATIO FOR CREATION OF GENERALIZED AND ROBUST PREDICTION MODELS 有权增加噪声信号以创建广义和可靠的预测模型公开(公告)号：US20130268469A1
公开(公告)日：2013-10-10
申请号：US13856288
申请日：2013-04-03
Applicant: APPLIED MATERIALS, INC.
Inventor： Deepak Sharma , Helen R. Armer , James Moyne
IPC: G06N5/02
CPC classification number: G06N5/02 , G05B19/00 , G06F17/5036 , G06N5/022 , G06N99/005
Abstract: A computer system iteratively executes a decision tree-based prediction model using a set of input variables. The iterations create corresponding rankings of the input variables. The computer system generates overall variables contribution data using the rankings of the input variables and identifies key input variables based on the overall variables contribution data.
Abstract translation: 计算机系统使用一组输入变量迭代地执行基于决策树的预测模型。 迭代创建输入变量的相应排名。 计算机系统使用输入变量的排名生成总体变量贡献数据，并根据总变量贡献数据识别关键输入变量。
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2.发明授权公开(公告)号：US09275334B2
公开(公告)日：2016-03-01
申请号：US13856288
申请日：2013-04-03
Applicant: Applied Materials, Inc.
Inventor： Deepak Sharma , Helen R. Armer , James Moyne
CPC classification number: G06N5/02 , G05B19/00 , G06F17/5036 , G06N5/022 , G06N99/005
Abstract: A computer system iteratively executes a decision tree-based prediction model using a set of input variables. The iterations create corresponding rankings of the input variables. The computer system generates overall variables contribution data using the rankings of the input variables and identifies key input variables based on the overall variables contribution data.
Abstract translation: 计算机系统使用一组输入变量迭代地执行基于决策树的预测模型。 迭代创建输入变量的相应排名。 计算机系统使用输入变量的排名生成总体变量贡献数据，并根据总变量贡献数据识别关键输入变量。
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