Database Reference
In-Depth Information
Avnimelech R., and Intrator N., Boosted mixture of experts: An ensemble learning
scheme,
Neural Computations
11(2):483-497, 1999.
Baker E., and Jain A. K., On feature ordering in practice and some finite sample
effects,
Proceedings of the Third International Joint Conference on Pattern
Recognition
, pp. 45-49, San Diego, CA, 1976.
Bala J., Huang J., Vafaie H., De Jong K., and Wechsler H., Hybrid learning
using genetic algorithms and decision trees for pattern classification,
IJCAI
Conference
, 1995.
Banfield R., OpenDT, http://opendt.sourceforge.net/, 2005.
Banfield R. E., Hall L. O., Bowyer K. W., and Kegelmeyer W. P., A comparison of
decision tree ensemble creation techniques,
IEEE Transactions on Pattern
Analysis and Machine Intelligence
, 29(1):173-180, 2007.
Banfield J. D., and Raftery A. E., Model-based Gaussian and non-Gaussian
clustering,
Biometrics
49:803-821, 1993.
Bartlett P., and Shawe-Taylor J., Generalization performance of support vector
machines and other pattern classifiers, In
Advances in Kernel Methods,
Support Vector Learning
,B.Scholkopf,C.J.C.Burges,andA.J.Smola
(eds.), Cambridge, USA: MIT Press, 1998.
Basak J., Online adaptive decision trees,
Neural Computations
16(9):1959-1981,
2004.
Basak J., Online adaptive decision trees: Pattern classification and function
approximation,
Neural Computations
18(9):2062-2101, 2006.
Bauer E., and Kohavi R., An empirical comparison of voting classification
algorithms: Bagging, boosting, and variants,
Machine Learning
35:1-38,
1999.
Baxt W. G., Use of an artificial neural network for data analysis in clinical decision
making: The diagnosis of acute coronary occlusion,
Neural Computation
2(4):480-489, 1990.
Bay S., Nearest neighbor classification from multiple feature subsets,
Intelligent
Data Analysis
3(3):191-209, 1999.
Bellman R.,
Adaptive Control Processes: A Guided Tour
, Princeton University
Press, 1961.
BenBassat M., Myopic policies in sequential classification,
IEEE Trans. on
Computing
27(2):170-174, February, 1978.
Bennett K. P., and Demiriz A., and Maclin R., Exploiting unlabeled data
in ensemble methods,
Proceedings of the Eighth ACM SIGKDD Interna-
tional Conference on Knowledge Discovery and Data Mining
, pp. 289-296,
New York, NY, USA: ACM Press, 2002.
Bennett X., and Mangasarian O. L., Multicategory discrimination via linear
programming,
Optimization Methods and Software
3:29-39, 1994.
Bensusan H., and Kalousis A., Estimating the predictive accuracy of a classifier,
Proc. Proceedings of the 12th European Conference on Machine Learning
,
pp. 25-36, 2001.
Bentley J. L., and Friedman J. H., Fast algorithms for constructing minimal
spanning trees in coordinate spaces,
IEEE Transactions on Computers
,
C-27(2):97-105, February, 1978.
Search WWH ::
Custom Search