CN109155039B - 用于时间期满清单利用预测的基于回归树压缩的特征向量机的方法 - Google Patents

用于时间期满清单利用预测的基于回归树压缩的特征向量机的方法 Download PDF

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CN109155039B
CN109155039B CN201780025157.1A CN201780025157A CN109155039B CN 109155039 B CN109155039 B CN 109155039B CN 201780025157 A CN201780025157 A CN 201780025157A CN 109155039 B CN109155039 B CN 109155039B
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S·德马尔斯
Y·H·叶
叶鹏
廖枫林
张力
K·潘
J·钱
B·约尔肯
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CN201780025157.1A 2016-04-20 2017-04-11 用于时间期满清单利用预测的基于回归树压缩的特征向量机的方法 Active CN109155039B (zh)

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Application Number Priority Date Filing Date Title
US201662325006P 2016-04-20 2016-04-20
US62/325,006 2016-04-20
US15/482,453 US10528909B2 (en) 2016-04-20 2017-04-07 Regression-tree compressed feature vector machine for time-expiring inventory utilization prediction
US15/482,453 2017-04-07
PCT/US2017/026945 WO2017184379A1 (en) 2016-04-20 2017-04-11 Regression-tree compressed feature vector machine for tim-expiring inventory utilization prediction

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CN109155039A CN109155039A (zh) 2019-01-04
CN109155039B true CN109155039B (zh) 2022-03-25

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US (2) US10528909B2 (enExample)
JP (1) JP6960940B2 (enExample)
KR (1) KR20180133434A (enExample)
CN (1) CN109155039B (enExample)
AU (1) AU2017254086A1 (enExample)
CA (1) CA3021196A1 (enExample)
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CA3021196A1 (en) 2017-10-26
JP2019516184A (ja) 2019-06-13
WO2017184379A1 (en) 2017-10-26
US10528909B2 (en) 2020-01-07
US10621548B2 (en) 2020-04-14
MX2018012465A (es) 2019-02-21
KR20180133434A (ko) 2018-12-14
CN109155039A (zh) 2019-01-04
WO2017184379A8 (en) 2018-11-08
US20200090116A1 (en) 2020-03-19
AU2017254086A1 (en) 2018-10-18
JP6960940B2 (ja) 2021-11-05
US20170308846A1 (en) 2017-10-26

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