ν-Structured 서포트 벡터 머신을 이용한 음성 인식기 훈련ν-Structured Support Vector Machines For Phonetic Recognition

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In this paper, we propose ν-structured support vector machine(ν -SSVM), an extension of  -support vector machine(ν -SVM) to structured prediction problems. The proposed ν-SSVM is modified from the structured SVM(SSVM) to have both advantages of the intuitive parameter ν in the ν-SVM and the margin scaling in the SSVM. In the ν-SSVM, ν asymptotically equals the empirical risk over support vectors. The stochastic subgradient descent is used to solve the optimization problem of the ν-SSVM.
Publisher
대한전자공학회
Issue Date
2009-07
Language
KOR
Citation

대한전자공학회 하계종합학술대회 , pp.927 - 928

URI
http://hdl.handle.net/10203/162624
Appears in Collection
EE-Conference Papers(학술회의논문)
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