References in zbMATH (referenced in 1202 articles , 2 standard articles )

Showing results 1161 to 1180 of 1202.
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  1. Pelckmans, K.; Espinoza, M.; Brabanter, J.; Suykens, J. A. K.; Moor, B.: Monotone regression splines in action (2005) ioport
  2. Popovici, Vlad; Bengio, Samy; Thiran, Jean-Philippe: Kernel matching pursuit for large datasets (2005) ioport
  3. Rigby, R. A.; Stasinopoulos, D. M.: Generalized additive models for location, scale and shape (with discussion) (2005)
  4. Rossi, Fabrice; Conan-Guez, Brieuc: Functional multi-layer perceptron: A nonlinear tool for functional data analysis (2005)
  5. Schmidt, Andreas U.: A model for prejudiced learning in noisy environments (2005)
  6. Tibshirani, Robert; Saunders, Michael; Rosset, Saharon; Zhu, Ji; Knight, Keith: Sparsity and smoothness via the fused lasso (2005)
  7. Whittaker, Joe; Whitehead, Chris; Somers, Mark: The neglog transformation and quantile regression for the analysis of a large credit scoring database (2005)
  8. Zhang, Cun-Hui: General empirical Bayes wavelet methods and exactly adaptive minimax estimation (2005)
  9. Zou, Hui; Hastie, Trevor: Regularization and variable selection via the elastic net (2005)
  10. Amaratunga, Dhammika; Cabrera, Javier: Mining data to find subsets of high activity. (2004)
  11. Cawley, Gavin C.; Talbot, Nicola L. C.: Fast exact leave-one-out cross-validation of sparse least-squares support vector machines (2004)
  12. Cherkassky, Vladimir; Ma, Yunqian: Practical selection of SVM parameters and noise estimation for SVM regression (2004)
  13. Coppejans, Mark: On Kolmogorov’s representation of functions of several variables by functions of one variable (2004)
  14. Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert: Least angle regression. (With discussion) (2004)
  15. Eldén, Lars: Partial least-squares vs. Lanczos bidiagonalization. I: Analysis of a projection method for multiple regression (2004)
  16. Elmore, R. T.; Hettmansperger, T. P.; Xuan, F.: The sign statistic, one-way layouts and mixture models (2004)
  17. Enăchescu, Denis: Multilayer perceptron model for prostate cancer prediction (2004)
  18. Garczarek, Ursula; Weihs, Claus: Incorporating background knowledge for better prediction of cycle phases (2004) ioport
  19. Gervini, Daniel; Gasser, Theo: Self-modelling warping functions (2004)
  20. Kane, Mark; Holt, John; Allen, Brian: Results concerning the generalized partially linear single-index model (2004)

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