Gap filling in the plant kingdom - Trait prediction using hierarchical probabilistic matrix factorization

Proceedings of the 29th International Conference on Machine Learning, ICML 2012

Volumn 2, Issue , 2012, Pages 1303-1310

  Shan, Hanhuai ^a   Kattge, Jens ^b   Reich, Peter B ^c   Banerjee, Arindam ^a   Schrodt, Franziska ^c   Reichstein, Markus ^b  

^a University of Minnesota   (United States)

^b MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY   (Germany)

^c UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ENVIRONMENTAL CHANGE; GAP FILLING; GLOBAL DATABASE; HIERARCHICAL STRUCTURES; MATRIX COMPLETION; MATRIX FACTORIZATIONS; MISSING DATA; MISSING DATA PROBLEM; PHYLOGENETIC INFORMATION; PHYLOGENETIC STRUCTURES; PLANT KINGDOM;

FORECASTING; LEARNING SYSTEMS;

ECOSYSTEMS;

EID: 84867133484     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Baraloto, C. et al. Functional trait variation and sampling strategies in species-rich plant communities. Functional Ecology, 24(1):208-216, 2010.
2. Bertsekas, D. P. Nonlinear Programming. Athena Scientific, 1999.
3. Candes, E.J., Li, X., Ma, Y., and Wright, J. Robust principal component analysis? Journal of ACM, 58 (1):1-37, 2009.
4. Kattge, J. et al. Try - a global database of plant traits. Global Change Biology, 17:2905-2935, 2011.
5. Lawrence, N. and Urtasun, R. Non-linear matrix factorization with Gaussian processes. In ICML, 2009.
6. Luxburg, U. A tutorial on spectral clustering. Statistics and Computing, 17(4), 2007.
7. McGill, B. J., Enquist, B. J., Weiher, E., and Westoby, M. Rebuilding community ecology from functional traits. Trends in Ecology & Evolution, 21(4):178-185, 2006.
8. McMahon, S. M. et al. Improving assessment and modelling of climate change impacts on global terrestrial biodiversity. Trends in Ecology & Evolution, 26(5): 249-259, 2011.
9. Menon, A., Chitrapura, K., Garg, S., Agarwal, D., and Kota, N. Response prediction using collaborative filtering with hierarchies and side-information. In KDD, 2011.
10. Nakagawa, S. and Freckleton, R. P. Missing inaction: the dangers of ignoring missing data. Trends in Ecology and Evolution, 23(11):592-596, 2008.
11. Rubin, D. B. Multiple Imputation for Nonresponse in Surveys. J. Wiley & Sons, 1987.
12. Salakhutdinov, R. and Mnih, A. Probabilistic matrix factorization. In NIPS, 2007.
13. Salakhutdinov, R. and Srebro, N. Collaborative filtering in a non-uniform world: Learning with the weighted trace norm. In NIPS, 2011.
14. Wright, I. J. et al. The worldwide leaf economics spectrum. Nature, 428(6985):821-827, 2004.