On Learning Decision Structures (1997)
Ryszard Michalski, Ibrahim F. Imam
A decision structure is a simple and powerful tool for organizing decision processes. It differs from a conventional decision tree in that its nodes are assigned tests that can be functions of the...
An Empirical Comparison Between Learning Decision Trees from Examples and from Decision Rules (1996)
Face and Hand Gesture Recognition Using Hybrid Classifiers (1996)
Srinivas Gutta, Jeffrey Huang, Ibrahim F. Imam, Harry Wechsler
This paper advances the methodology of hybrid classification architectures for face and hand gesture recognition tasks and shows their feasibility through experimental studies using the FERET data...
Bloedorn, Eric, Imam, Ibrahim F., Kaufman, Kenneth A., Maloof, Marcus A., Michalski, Ryszard S., Wnek, Janusz
Feature Selection Methods: Genetic Algorithms vs. Greedy-like Search (1994)
. This paper presents a comparison between two feature selection methods, the Importance Score (IS) which is based on a greedy-like search and a genetic algorithm-based (GA) method, in order to...
Learning Problem-Oriented Decision Structures from Decision Rules: The AQDT-2 System (1994)
Ryszard Michalski, Ibrahim F. Imam
A decision structure is an acyclic graph that specifies an order of tests to be applied to an object (or a situation) to arrive at a decision about that object. and serves as a simple and powerful...
Feature selection methods: genetic algorithms vs. greedy-like search (1994)
Abstract. This paper presents a comparison between two feature selection methods, the Importance Score (IS) which is based on a greedy-like search and a genetic algorithm-based (GA) method, in order...
I.F.: Learning problem-oriented decision structures from decision rules: the AQDT-2 system (1994)
Ryszard S. Michalski, Ibrahim F. Imam
A decision structure is an acyclic graph that specifies an order of tests to be applied to an object (or a situation) to arrive at a decision about that object. and serves as a simple and powerful...
Should decision trees be learned from examples or from decision rules (1993)
L F. Imam, R. Michalski, Ibrahim F. Imam, Ibrahim F. Imam, Ryszard S. Michalski, Ryszard S. Michalski
iimam @ aic.gmu.edu & michalski @ aic.gmu.edu