Discovering additive structure in black box functions

KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2004, Pages 575-580

  Hooker, Giles ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

Additive models; Diagnostics; Feature Selection; Functional ANOVA; Graphical models; Interpretation; Visualization

Indexed keywords

ALGORITHMS; AUTOMATION; GRAPHIC METHODS; MEASUREMENT THEORY; NEURAL NETWORKS; PATTERN RECOGNITION; STATISTICAL METHODS; VECTORS; VISUALIZATION;

ADDITIVE MODELS; BLACK BOX FUNCTIONS; DIAGNOSTICS; FEATURE SELECTION; FUNCTIONAL ANOVA; GRAPHICAL MODELS; INTERPRETATION; VERIFICATION;

LEARNING SYSTEMS;

EID: 12244253035     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1014052.1014122     Document Type: Conference Paper

References (14)

1. R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In Proceedings of the 20th International Conference on Very Large Databases, 1994.
2. L. Breiman. Bagging predictors. Mach. Learn., 24(2):123-140, 1996.
3. A. Buja, D. F. Swayne, M. L. Littman, N. Dean, and H. Hofmann. Xgvis: Interactive data visualization with multidimensional scaling, 2001. http://www.research.att.com/areas/stat/xgobi/index.html.
4. S. E. Feinberg. The Analysis of Cross-Classified Categorical Data. MIT Press, 1980.
5. J. H. Friedman. Greedy function approximation: A gradient boosting machine. Annals of Statistics, 29(5):1189-1232, 2001.
6. D. Harrison and D. L. Rubinfeld. Hedonic prices and the demand for clean air. Journal of Environmental Economics and Management, 5:81-102, 1978.
7. W. Hoeffding. A class of statistics with asymptotically normal distributions. Annals of Mathematical Statistics, 19:293-325, 1948.
8. G. Hooker. Black box diagnostics and the problem of extrapolation: Extending the functional anova. Technical report, Stanford University, 2004.
9. T. Jiang and A. B. Owen. Quasi-regression with shrinkage. Math. Comput. Simul., 62(3-6):231-241, 2003.
10. R. Liu and A. B. Owen. Estimating mean dimensionality. Technical report, Stanford University, 2003.
11. A. B. Owen. The dimension distribution and quadrature test functions. Statistica Sinica, 13(1), 2003.
12. R-project. http://www.r-project.org/.
13. C. Roosen. Visualization and Exploration of High-Dimensional Functions Using the Functional Anova Decomposition. PhD thesis, Stanford University, 1995.
14. I. M. Sobol. Global sensitivity indices for nonlinear mathematical models and their monte carlo estimates. Mathematics and Computers in Simulation, 5:271-280, 2001.