Non‐linear avo inversion using support vector machines-Reference-Cited by-同舟云学术

Non‐linear avo inversion using support vector machines

Published:2004-01 Issue: Volume: Page:
ISSN:
Container-title:SEG Technical Program Expanded Abstracts 2004
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Author:

Kuzma Heidi Anderson¹,Rector James W.¹

Affiliation:

1. University of California, Berkeley

Publisher

Society of Exploration Geophysicists

Link

https://library.seg.org/doi/pdf/10.1190/1.1843305

Reference6 articles.

1. The Asymptotic Behaviour of Tukey's General Method of Setting Approximate Confidence Limits (The Jackknife) When Applied to Maximum Likelihood Estimates

2. Kuzma, Heidi Anderson, 2002, The “kernel trick”:using linear algorithms to solve non‐linear problems, 72nd Ann. Internat. Mtg.:Soc. Of Expl. Geophys., Expanded Abstracts, IT P1.7.

3. Kuzma, Heidi Anderson., 2003, A Support Vector Machine for AVO Interpretation, 73rd Ann. Internat. Mtg.:Soc. Of Expl. Geophys., Expanded Abstracts, 181–184.

4. Li, J. and Castagna J., 2003, Support Vector pattern recognition and AVO classification, 73rd Ann. Internat. Mtg.:Soc. Of Expl. Geophys., Expanded Abstracts, 262–265.

5. Smola, Alex J., and Bernhard Scolkopf, 1998, A Tutorial on Support Vector Regression, NeuroCOLT2 Technical Report Series, NC2‐TR‐1998‐030 Available from www.kernel‐machines.org

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