1 |
Jordan, M.(Ed.), Learning in Graphical Models, MIT Press, Cambridge, MA, 1998
|
2 |
Zhang, B.-T., Accelerated Learning by Active Example Selection, International Journal of Neural Systems, 5(1):67-75, 1994
DOI
ScienceOn
|
3 |
Mitchell, T., Machine Learning, McGraw Hill, 1997
|
4 |
Winston, P.H., Learning Structural Descriptions from Examples. In P. H. Winston(Ed.), The Psychology of Computer Vision, New York: McGraw-Hill, pp. 157-209, 1975
|
5 |
Rumelhart, D.E., J.L., McClleland, and the PDP Research Group, Parallel Distributed Processing-Vols. 1 & 2, MIT Press, 1986.
|
6 |
Michalski, R.S., J.G. Carbonell, T.M. Mitchell, Machine Learning: An Artificial Intelligence Approach, Volume II, Morgan Kaufmann, 1986
|
7 |
MacKay, D.J.C., Information Theory, Inference, and Learning Algorithms, Cambridge University Press, 2003
|
8 |
Gemmel, J., Bell, G., and Lueder, R., MyLifeBits: Personal Database Everything, Communications of the ACM, 49(1) : 89-95, January 2006.
|
9 |
Schoelkopf, B., C.J.C. Burges, and A.J. Smola, Advances in Kernel Methods: Support Vector Learning, MIT Press, Cambridge, MA, 1999.
|
10 |
Duda, R.O., P.E. Hart and D. G. Stork, Pattern Classification, New York: Wiley, 2001
|
11 |
Schoelkopf, B., C.J.C. Burges, and A.J. Smola, Advances in Kernel Methods: Support Vector Learning, MIT Press, Cambridge, MA, 1999.
|
12 |
Samuel, A.L., Some Studies in Machine Learning Using the Game of Checkers, IBM Journal of Research and Development, 3(3):210-219, July 1959
DOI
|
13 |
Cowell, R.G., S.L. Lauritzen, and D.J. Spiegelhalter, Probabilistic Networks and Expert Systems, 2005
|
14 |
Michalski, R.S., J.G. Carbonell, T.M. Mitchell, Machine Learning: An Artificial Intelligence Approach, Tioga Publishing Company, 1983
|
15 |
Bishop, C., Pattern Recognition and Machine Learning, Springer, 2006
|