Database Reference
In-Depth Information
Bibliography
Aha D. W., Kibler D., and Albert M. K., Instancebased learning algorithms,
Machine Learning
6(1):37-66, 1991.
A1-Sultan K. S., A tabu search approach to the clustering problem,
Pattern
Recognition
28:1443-1451, 1995.
Al-Sultan K. S., and Khan M. M., Computational experience on four algorithms
for the hard clustering problem,
Pattern Recognition Letters
17(3):295-308,
1996.
Ali K. M., and Pazzani M. J., Error reduction through learning multiple
descriptions,
Machine Learning
24(3):173-202, 1996.
Almuallim H., An ecient algorithm for optimal pruning of decision trees,
Artificial Intelligence
83(2):347-362, 1996.
Almuallim H., and Dietterich T. G., Learning Boolean concepts in the presence
of many irrelevant features,
Artificial Intelligence
69(1-2):279-306, 1994.
Alsabti K., Ranka S., and Singh V., CLOUDS: A decision tree classifier for large
datasets,
Conference on Knowledge Discovery and Data Mining
(
KDD
-98),
August 1998.
An A., and Wang Y., Comparisons of classification methods for screening
potential compounds,
IEEE International Conference on Data Mining
,
2001.
Anand R., Methrotra K., Mohan C. K., and Ranka S., Ecient classification for
multiclass problems using modular neural networks,
IEEE Trans Neural
Networks
6(1):117-125, 1995.
Anderson J. A., and Rosenfeld E.,
Talking Nets
:
An Oral History of Neural
Network Research
, Cambridge, MA: MIT Press, 2000.
Antwarg L., Rokach L., and Shapira B., Attribute-driven hidden markov model
trees for intention prediction,
IEEE Transactions on Systems, Man, and
Cybernetics, Part C
42(6):1103-1119, 2012.
Ashenhurst R. L., The decomposition of switching functions,
Technical report,
Bell Laboratories BL
-1(11), pp. 541-602, 1952.
Athanasopoulos D.,
Probabilistic Theory
, Piraeus: Stamoulis, 1991.
Attneave F.,
Applications of Information Theory to Psychology
, California: Holt,
Rinehart and Winston, 1959.
273
Search WWH ::
Custom Search