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Hussein Almuallim
Hussein Almuallim
President, FirmSoft Technologies
Verified email at firmsofttech.com
Title
Cited by
Cited by
Year
Learning With Many Irrelevant Features.
H Almuallim, TG Dietterich
AAAI 91, 547-552, 1991
10241991
Learning boolean concepts in the presence of many irrelevant features
H Almuallim, TG Dietterich
Artificial intelligence 69 (1-2), 279-305, 1994
7111994
A method of recognition of Arabic cursive handwriting
H Almuallim, S Yamaguchi
IEEE transactions on pattern analysis and machine intelligence, 715-722, 1987
2801987
Efficient algorithms for identifying relevant features
H Almuallim, TG Dietterich
Proc. of the 9th Canadian Conference on Artificial Intelligence, 38-45, 1991
2381991
An efficient algorithm for optimal pruning of decision trees
H Almuallim
Artificial Intelligence 83 (2), 347-362, 1996
941996
Learning with many irrelevant features
T Fountain, H Almuallim, TG Dietterich
Oregon State University, 1991
681991
Development and applications of decision trees
H Almuallim, S Kaneda, Y Akiba
Expert Systems, 53-77, 2002
512002
On handling tree-structured attributes in decision tree learning
H Almuallim, Y Akiba, S Kaneda
Machine Learning Proceedings 1995, 12-20, 1995
491995
On handling tree-structured attributes in decision tree learning
H Almuallim, Y Akiba, S Kaneda
Machine Learning Proceedings 1995, 12-20, 1995
491995
Two methods for learning ALT-J/E translation rules from examples and a semantic hierarchy
I Allmuallim, Y Akiba, T Yamazaki, A Yokoo, S Kaneda
COLING 1994 Volume 1: The 15th International Conference on Computational …, 1994
341994
Strategic scope of alternative optimization methods in history matching and prediction workflows
R Schulze-Riegert, F Chataigner, N Kueck, O Pajonk, J Baffoe, I Ajala, ...
SPE Middle East Oil and Gas Show and Conference, SPE-164337-MS, 2013
212013
Learning English verb selection rules from hand-made rules and translation examples
Y Akba, M Ishii, H Almuallim, S Kaneda
Proceedings of the Sixth Conference on Theoretical and Methodological Issues …, 1995
211995
An efficient algorithm for finding optimal gain-ratio multiple-split tests on hierarchical attributes in decision tree learning
H Almuallim, Y Akiba, S Kaneda
Proceedings of the thirteenth national conference on Artificial intelligence …, 1996
181996
Turning majority voting classifiers into a single decision tree
Y Akiba, S Kaneda, H Almuallim
Proceedings Tenth IEEE International Conference on Tools with Artificial …, 1998
171998
History-Matching With Sensitivity-Based Parameter Modifications at Grid-Block Level
H Almuallim, K Edwards, L Ganzer
SPE Europec featured at EAGE Conference and Exhibition?, SPE-131627-MS, 2010
122010
Induction of Japanese-English translation rules from ambiguous examples and a large semantic hierarchy
H ALMUALLIM
Journal of Japanese Society for Artificial Intelligence 9 (5), 730-740, 1994
111994
A tool for the acquisition of Japanese-English machine translation rules using inductive learning techniques
H Almuallim, Y Akiba, T Yamazaki, A Yokoo, S Kaneda
Proceedings of the Tenth Conference on Artificial Intelligence for …, 1994
101994
Concept coverage and its application to two learning tasks
HS Almuallim
Oregon State University, 1992
81992
Exploiting symmetry properties in the evaluation of inductive learning algorithms: an empirical domain-independent comparative study
H Almuallim
71991
Computer Assisted History Matching-A Field Example
RH Lind, O Allottai, AM Gaaim, H Almuallim
SPE Reservoir Characterisation and Simulation Conference and Exhibition …, 2013
62013
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