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Volumn , Issue 201 GSP, 2010, Pages 212-217

Relevance vector machine for evaluating seismic liquefaction potential using shear wave velocity

Author keywords

Seismic effects; Shear waves; Soil liquefaction; Wave velocity

Indexed keywords

BAYESIAN FORMULATION; BAYESIAN INFERENCE; CLASSIFICATION APPROACH; COMPUTATIONAL COSTS; EARTHQUAKE MAGNITUDES; GAUSSIAN FUNCTIONS; GROUND SURFACES; INPUT PARAMETER; LINEAR MODEL; LIQUEFACTION POTENTIALS; PEAK ACCELERATION; PROBABILISTIC OUTPUT; RELEVANCE VECTOR MACHINE; SEISMIC EFFECT; SEISMIC LIQUEFACTION; SHEAR WAVE VELOCITY; SOIL TYPES; SPARSE REPRESENTATION; VERTICAL STRESS; WAVE VELOCITY;

EID: 77956149940     PISSN: 08950563     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/41102(375)25     Document Type: Conference Paper
Times cited : (2)

References (4)
  • 3
    • 0001224048 scopus 로고    scopus 로고
    • Sparse bayesian learning and the relevance vector machine
    • Tipping, M.E. (2001). "Sparse Bayesian Learning and the Relevance Vector Machine." J. Mach. Learn, 1:211-244.
    • (2001) J. Mach. Learn , vol.1 , pp. 211-244
    • Tipping, M.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.