Generalized2 linear2 models

Advances in Neural Information Processing Systems

Volumn , Issue , 2003, Pages

  Gordon, Geoffrey J ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

INDEPENDENT COMPONENT ANALYSIS; ITERATIVE METHODS; PRINCIPAL COMPONENT ANALYSIS;

GENERALIZED LINEAR MODEL; INDEPENDENT COMPONENTS ANALYSIS; LINK FUNCTIONS; LOW-RANK MATRICES; NON-LINEAR REGRESSION; PRINCIPAL COMPONENTS ANALYSIS; RECTANGULAR MATRIX; STATISTICAL ESTIMATORS;

MATRIX ALGEBRA;

EID: 84899020698     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. T. K. Landauer, P. W. Foltz, and D. Laham. Introduction to latent semantic analysis. Discourse Processes, 25:259-284, 1998.
2. Jon M. Kleinberg. Authoritative sources in a hyperlinked environment. Journal of the ACM, 46(5):604-632, 1999.
3. M. Turk and A. Pentland. Eigenfaces for recognition. Journal of Cognitive Neuro-science, 3(1):71-86, 1991.
4. Carlo Tomasi and Takeo Kanade. Shape and motion from image streams under orthography: a factorization method. Int. J. Computer Vision, 9(2):137-154, 1992.
5. D. P. O'Leary and S. Peleg. Digital image compression by outer product expansion. IEEE Trans. Communications, 31:441-444, 1983.
6. P. McCullagh and J. A. Neider. Generalized Linear Models. Chapman & Hall, London, 2nd edition, 1983.
7. Peter Auer, Mark Hebster, and Manfred K. Warmuth. Exponentially many local minima for single neurons. In NIPS, Vol. 8. MIT Press, 1996.
8. R. Tyrell Rockafellar. Convex Analysis. Princeton University Press, New Jersey, 1970.
9. Geoffrey J. Gordon. Approximate Solutions to Markov Decision Processes. PhD thesis, Carnegie Mellon University, 1999.
10. Daniel Lee and H. Sebastian Seung. Algorithms for nonnegative matrix factorization. In NIPS, Vol. 13. MIT Press, 2001.
11. Nathan Srebro. Personal communication, 2002.
12. Anthony J. Bell and Terrence J. Sejnowski. The 'independent components' of natural scenes are edge filters. Vision Research, 37(23):3327-3338, 1997.
13. Michael Collins, Sanjoy Dasgupta, and Robert Schapire. A generalization of principal component analysis to the exponential family. In NIPS, Vol. 14. MIT Press, 2002.
14. D. Fox, W. Burgard, F. Dellaert, and S. Thrun. Monte Carlo localization: Efficient position estimation for mobile robots. In AAAI, 1999.
15. Nicholas Roy and Geoffrey J. Gordon. Exponential family PCA for belief compression in POMDPs. In NIPS, Vol. 15. MIT Press, 2003.
16. Sam Roweis. EM algorithms for PCA and SPCA. In NIPS, Vol. 10. MIT Press, 1998.