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Abstract: Many intelligent systems are designed to sift through a mass of evidence and arrive at a decision. Certain pieces of evidence may be given more weight than others, and this may affect the final decision significantly. When than one intelligent agent is available to make a decision, we can form a committee of experts. By combining the different opinions of these experts, the committee approach can sometimes outperform any individual expert. In this paper, we show how to exploit randomized... (Update)
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.... aids have been implemented that collaborate with humans in mixed initiative planning and expert decision making, respectively ( 5] [32]) These systems fall into the CT paradigm because they simulate real life experiences in ways which channel users attention to...
.... arbitrarily introduced differences between trees, such as using randomized initial conditions or perturbations in the search procedures [9], do not guarantee good combination performance. Here good combination performance is defined as 100 correct rate on training data and a...
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BibTeX entry: (Update)
Heath, D.; Kasif, S.; and Salzberg, S. 1996. Committees of decision trees. In Gorayska, B. and Mey, J., editors, Cognitive Technology: In Search of a Human Interface. Elsevier Science, Amsterdam, The Netherlands. 305--317. http://citeseer.ist.psu.edu/heath96committee.html More
@misc{ heath96committees,
author = "D. Heath and S. Kasif and S. Salzberg",
title = "Committees of decision trees",
text = "Heath, D.; Kasif, S.; and Salzberg, S. 1996. Committees of decision trees.
In Gorayska, B. and Mey, J., editors, Cognitive Technology: In Search of
a Human Interface. Elsevier Science, Amsterdam, The Netherlands. 305--317.",
year = "1996",
url = "citeseer.ist.psu.edu/heath96committee.html" }
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25 An empirical comparison of pattern recognition (context) - Sholom, Kapouleas - 1989
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