GeoKernels.org: Machine Learning for Geosciences.

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GeoKernels.org Introduction
1. Kanevski M., Pozdnoukhov A., and Timonin V. Machine Learning Algorithms for Environmental Spatial Data. Theory and Case Studies. EPFL Press, Lausanne, 2007. A book with software on machine learning algorithms, 450 pages. 2. Pozdnoukhov A. Support Vector Regression for Automated Robust Spatial Mapping of Natural Radioactivity. Applied GIS, Vol. 1, Num. 2, pp. 2101-2110, 2005. 3. Pozdnoukhov A., Kanevski M., Monitoring Network Optimisation for Spatial Data Classification Using Support Vector Machines. Int. Journal of Environment and Pollution. Vol.28. 20 pp., 2006. 4. Pozdnoukhov A., Bengio S., Graph-based Transformation Manifolds for Invariant Pattern Recognition with Kernel Methods. Int. Conf. on Pattern Recognition (ICPR), Hong Kong, 2006. 5. Pozdnoukhov A., Bengio S., Semi-Supervised Kernel Methods for Regression Estimation. In proc. of Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP, Finalist of Best Student Paper Contest), Toulouse, France, 2006. 6. Pozdnoukhov A., Bengio,S., From Samples to Objects: Invariances in Kernel Methods. In Pattern Recognition Letters Journal, Volume 27, Issue 10, pp. 1087-1097, 2006. 7. Kanevski M., Pozdnoukhov A., Canu S., Maignan M. Advanced Spatial Data Analysis and Modelling with Support Vector Machines. International Journal of Fuzzy Systems, Vol. 4, No. 1, March 2002, pp. 606-616 8. Kanevski M., Pozdnoukhov A., McKenna S., Bolshov L., "Transductive Decision-Oriented Mapping of Environmental Data" Conf. of International Association of Mathematical Geology (IAMG02), September 15-20, 2002, Berlin, Germany 9. Pozdnoukhov A., The analysis of kernel ridge regression algorithm. IDIAP Research report IDIAP RR-02-54, 2002. 10. Kanevski M., Pozdnukhov A., Canu S., Maignan M., Wong P. Shibli S. Support Vector Machines for Classification and Mapping of Reservoir Data. A chapter from "Soft computing for reservoir characterization and modelling", Springer-Verlag, 2001, pp. 531-558. 11. Kanevski M, Pozdnoukhov A., Savelieva E., Timonin V. Kernel Based Classification of Categorical Environmental Data. Proceedings of Pedometrics'2001, Kent, Belgium, September 19-23. 12. Pozdnoukhov A., M. Kanevski, M. Maignan, S. Canu. Robust mapping of spatial data with Support Vector Regression. Preprint IBRAE, Moscow, Nuclear Safety Institute RAS, 15 p., 2002. 13. Kanevski M., Pozdnoukhov A., McKenna S., Bolshov L., "Transductive Decision-Oriented Mapping of Environmental Data" (accepted for Oral Presentation), Annual conference of International Association of Mathematical Geology (IAMG02), September 15-20, 2002, Berlin, Germany 14. Kanevski M., Parkin R., Pozdnukhov A., Timonin V., Maignan M., Yatsalo B., Canu S. (2002b) Environmental Data Mining and Modelling Based on Machine Learning Algorithms and Geostatistics. International Environmental Modeling and Software society conference (iEMSs2002), Lugano, Switzerland, pp. 414-419. 15. Pozdnoukhov A., Kanevski, M., Demyanov V., Canu S., Maignan M., Kravetski A., Parkin R., Savelieva E., Trutce A., Chernov S. (2001) Environmental Data Mining with Geostatistics and Machine Learning Algorithms, 4-th INTAS Interdisciplinary Symposium on Physical and Chemical Methods in Biology, Medicine and Environment, Moscow, May 30-June 3, 2001. 16. Pozdnoukhov A., Bengio S., A Kernel Classifier for Distributions. IDIAP Research Report, IDIAP RR-05-32, 2005. 17. Kanevski M., Bolshov L., Savelieva E., Pozdnoukhov A., Timonin V., Characterization of Hydrogeologic Systems with Machine Learning Algorithms and Geostatistical Models. International Containment & Remediation Technology Conference, Orlando, Florida, USA, 10-13 June 2001. 18. Kanevski M., Demyanov V., Pozdnukhov A., Parkin R., Savelieva E., Timonin V., Maignan M., Advanced Geostatistical and Machine-Learning Models for Spatial Data Analysis of Radioactively Contaminated Regions. Int. Journal of Environmental Science and Pollution Research, 10 ESPR Special (1) 137-149 (2003). 19. Kanevski M., Parkin R., Pozdnukhov A., Timonin V., Maignan M., Demyanov V., Canu S. Environmental data mining and modeling based on machine learning algorithms and geostatistics. Environmental Modelling and Software 19(9): 845-855 (2004). 20. Kanevski M., Pozdnukhov A., Maignan M., Active Learning of Environmental Data Using Support Vector Machines. Conference of the International Association for Mathematical Geology, Toronto 2005. 21. M. Kanevski, A. Pozdnukhov, M. Tonini, M. Motelica, E. Savelieva, M. Maignan. Statistical Learning Theory for Geospatial Data. Case study: Aral Sea. 14th European colloquium on Theoretical and Quantitative Geography. Portugal, September 2005. 22. Pozdnukhov A., Kanevski M. Monitoring network optimisation using support vector machines. In: Geostatistics for Environmental applications. (Renard Ph., Demougeot-Renard H and Froidevaux, Eds.). Springer, 2005. pp. 39-50.
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GeoKernels is a research project funded by Swiss National Science Foundation, division II, project 200021-113944.
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Machine Learning Algorithms for GeoSpatial Data. M. Kanevski, A. Pozdnoukhov, V. Timonin EPFL Press, 300 p. Coming soon (2007)
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Analysis and Modelling of Spatial Environmental Data. M. Kanevski, M. Maignan. EPFL Press, 285 p. 2004
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Advanced Mapping of Environmental Data Geostatistics, Machine Learning, Bayesian Maximum Entropy. Edited by M. Kanevski 328p. hardback Order it at ISTE press Table of Contents or at Amazon.com
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New book
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