It is interesting to learn how predictive technologies are being applied. Below are links to some cases which may prove instructive as well as novel:
An Empirical Study of Machine Learning Algorithms
Applied to Modeling Player Behavior in a First Person Shooter Video Game, Masters thesis by Benjamin Geisler
Using Machine Learning to Break Visual Human Interaction Proofs (HIPs), by Kumar Chellapilla and Patrice Y. Simard
Spatial Clustering Of Chimpanzee Locations For Neighborhood
Identification, by Sandeep Mane, Carson Murray, Shashi Shekhar, Jaideep Srivastava and Anne Pusey
Are You HOT or NOT?, by Jim Hefner and Roddy Lindsay
Predicting Student Performance, by Behrouz Minaei-Bidgoli, Deborah A. Kashy, Gerd Kortemeyer, William F. Punch
Discrimination of Hard-to-pop Popcorn Kernels by Machine Vision and Neural Networks, by W. Yang, P. Winter, S. Sokhansanj, H. Wood and B. Crerer
Predicting habitat suitability with machine learning
models, by Marta Benito Garzón, Radim Blazek, Markus Neteler, Rut Sánchez de Dios, Helios Sainz Ollero and Cesare Furlanello
It is not necessary to read such cases from end-to-end to benefit from them. Glance through these to pick up what tips you may. Happy hunting!
Tuesday, April 17, 2007
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