1 |
Carbonell, J.G., Michalski, R.S., & Mitchell, T.M. (1983). An overview of machine learning, In R.S. Michalski, J.G. Carbonell and T.M. Mitchell, (Eds.), Machine learning: An artificial intelligence approach. Palo Alto: Tioga Publishing Company.
|
2 |
Pearl, J. (1978a). Entropy, information and rational decisions (Technical report). Cognitive Systems Laboratory, University of California, Los Angeles.
|
3 |
Quinlan, J.R. (1985b). Decision trees and multi-valued attributes. In J.E. Hayes & D. Michie (Eds.), Machine intelligence 11. Oxford University Press(in press).
|
4 |
T Kolsch, Diplomarbeit Im Fach Informatik, Lehrstuhl Fur Informatik Vi, Rheinisch-westfalische Technische, Hochschule Aachen, Prof Dr. -ing, Prof Dr. -ing, H. Ney, H. Ney, Prof Dr, E. Vidal, Dipl Inform, D. Keysers, Tobias Gabriel, Tobias Gabriel, Benedikt Kolsch, Benedikt Kolsch, Local Features for Image Classification. 2003.
|
5 |
Quinlan, J.R. (1993). Program for machine learning, Morgan Kaufmann Publisher, Inc.
|
6 |
Quinlan, J.R. (1979). Discovering rules by induction from large collections of examples. In D. Michie(Ed.), Expert systems in the micro electronic age. Edinburgh University Press.
|
7 |
J. R. Quinlan. Improved use of continuous attributes in c4.5. Journal of Artificial Intelligence Research, 4:77-90, 1996.
|
8 |
Quinlan, J.R. (1983a). Learning efficient classification procedures and their application to chess endgames. In R.S. Michalski, J.G. Carbonell & T.M. Mitchell, (Eds.), Machine learning: An artificialintelligence approach. Palo Alto: Tioga Publishing Company.
|
9 |
Y. Amit, D. Geman, and K. Wilder. Joint induction of shape features and tree classifiers, 1997.
|
10 |
P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In Proc. CVPR, pp.511-518, 2001.
|