Database Reference
In-Depth Information
Jacobs R. A., Jordan M. I., Nowlan S. J., and Hinton G. E. Adaptive mixtures
of local experts,
Neural Computation
3(1):79-87, 1991.
Jackson J.,
A User's Guide to Principal Components
, New York: John Wiley and
Sons, 1991.
Jang J., Structure determination in fuzzy modeling: A fuzzy CART approach, In
Proc. IEEE Conf. Fuzzy Systems
, pp. 480-485, 1994.
Janikow C. Z., Fuzzy decision trees: Issues and methods,
IEEE Transactions on
Systems, Man, and Cybernetics
28(1):1-14. 1998.
Jain A. K. Murty M. N., and Flynn P. J., Data clustering: A survey,
ACM
Computing Surveys
31(3):1999.
Jain A., and Zonker D., Feature selection: Evaluation, application, and small
sample performance,
IEEE Trans. on Pattern Analysis and Machine
Intelligence
19:153-158, 1997.
Jenkins R., and Yuhas B. P., A simplified neural network solution through prob-
lem decomposition: The case of Truck backer-upper,
IEEE Transactions on
Neural Networks
4(4):718-722, 1993.
Jimenez L. O., and Landgrebe D. A., Supervised classification in high-dimensional
space: Geometrical, statistical, and asymptotical properties of multivariate
data,
IEEE Transaction on Systems Man, and Cybernetics — Part C:
Applications and Reviews
28:39-54, 1998.
Johansen T. A., and Foss B. A., A narmax model representation for adaptive
control based on local model,
Modeling, Identification and Control
13(1):25-
39, 1992.
John G. H., Robust linear discriminant trees, In
Learning From Data: Artificial
Intelligence and Statistics V
, D. Fisher and H. Lenz (eds.), Lecture Notes
in Statistics, Chapter 36, pp. 375-385. New York: Springer-Verlag, 1996.
John G. H., Kohavi R., and Pfleger P., Irrelevant features and the subset selection
problem, In
Machine Learning: Proceedings of the Eleventh International
Conference
, San Mateo: Morgan Kaufmann, 1994.
John G. H., and Langley P., Estimating continuous distributions in Bayesian
classifiers, In
Proceedings of the Eleventh Conference on Uncertainty in
Artificial Intelligence
, pp. 338-345, San Mateo: Morgan Kaufmann, 1995.
Jordan M. I., and Jacobs R. A. Hierarchies of adaptive experts. In
Advances in
Neural Information Processing Systems
,J.E.Moody,S.J.Hanson,and
R. P. Lippmann (eds.), Vol. 4, pp. 985-992, Morgan Kaufmann Publishers,
Inc., 1992.
Jordan M. I., and Jacobs R. A., Hierarchical mixtures of experts and the EM
algorithm,
Neural Computation
6:181-214, 1994.
Joshi V. M., On evaluating performance of classifiers for rare classes,
Second IEEE
International Conference on Data Mining
, pp. 641-644, IEEE Computer
Society Press, 2002.
Kamath C., and Cantu-Paz E., Creating ensembles of decision trees through
sampling, Proceedings, 33-rd Symposium on the Interface of Computing
Science and Statistics, Costa Mesa, CA, June 2001.
Kamath C., Cant-Paz E., and Littau D., Approximate splitting for ensembles of
trees using histograms, In
Second SIAM International Conference on Data
Mining
(SDM-2002), 2002.
Search WWH ::
Custom Search