Presentation 2011-03-28
Infinite Hidden Markov Random Field Model and Its Application to Semiconductor Manufacturing Data
Ryusei SHINGAKI, Ken UENO, Shizu SAKAKIBARA,
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Abstract(in English) Semiconductor manufacturing is a time-consuming and costly process involving many test steps. In this paper, we apply an infinite hidden Markov random field model to some wafer bin map (WBM) data on the wafer and extract the whole spatial dependency on the wafer. Our method allows to test few chips on the wafer so that reduce the test cost.
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Keyword(in English) infinite Hidden Markov Random Field / Semiconductor Manufacturing / Wafer Bin Maps
Paper # IBISML2010-104
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Committee IBISML
Conference Date 2011/3/21(1days)
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Registration To Information-Based Induction Sciences and Machine Learning (IBISML)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Infinite Hidden Markov Random Field Model and Its Application to Semiconductor Manufacturing Data
Sub Title (in English)
Keyword(1) infinite Hidden Markov Random Field
Keyword(2) Semiconductor Manufacturing
Keyword(3) Wafer Bin Maps
1st Author's Name Ryusei SHINGAKI
1st Author's Affiliation System Engineering Laboratory, Corporate Research & Development Center, Toshiba Corporation()
2nd Author's Name Ken UENO
2nd Author's Affiliation System Engineering Laboratory, Corporate Research & Development Center, Toshiba Corporation
3rd Author's Name Shizu SAKAKIBARA
3rd Author's Affiliation System Engineering Laboratory, Corporate Research & Development Center, Toshiba Corporation
Date 2011-03-28
Paper # IBISML2010-104
Volume (vol) vol.110
Number (no) 476
Page pp.pp.-
#Pages 7
Date of Issue