Support vector regression machines

Advances in Neural Information Processing Systems

Volumn , Issue , 1997, Pages 155-161

  Drucker, Harris ^a   Surges, Chris J C ^a   Kaufman, Linda ^a   Smola, Alex ^a   Vapnik, Vladimir ^b  

^a LUCENT TECHNOLOGIES   (United States)

^b AT AND T LABS RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

VECTOR SPACES;

FEATURE SPACE; HIGH DIMENSIONALITY; REGRESSION TECHNIQUES; REGRESSION TREES; RIDGE REGRESSION; SUPPORT VECTOR; SUPPORT VECTOR REGRESSION (SVR); SUPPORT VECTOR REGRESSION MACHINES;

REGRESSION ANALYSIS;

EID: 84899013173     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Leo Breiman, "Bagging Predictors", Technical Report 421, September 1994, Department of Statistics, University of California Berkeley, CA Also at anonymous ftp site: ftp.stat.berkeley.edu/pub/tech-reports/421.ps.Z
2. Jame R. Bunch and Linda C. Kaufman, " A Computational Method of the Indefinite Quadratic Programming Problem", Linear Algebra and Its Applications, Elsevier-North Holland, 1980.
3. Jerry Friedman, "Multivariate Adaptive Regression Splines", Annal of Statistics, vol 19, No. 1, pp. 1-141
4. Alan J. Miller, Subset Selection in Regression, Chapman and Hall, 1990.
5. Gilbert Strang, Introduction to Applied Mathematics, Wellesley Cambridge Press, 1986.
6. Vladimir N. Vapnik, The Nature of Statistical Learning Theory, Springer, 1995.