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» Variable selection using neural-network models
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COLT
1992
Springer
15 years 1 months ago
Learning Switching Concepts
We consider learning in situations where the function used to classify examples may switch back and forth between a small number of different concepts during the course of learnin...
Avrim Blum, Prasad Chalasani
68
Voted
WSC
2007
15 years 13 hour ago
Simulation-based, ontology driven resource plan development
This paper describes the use of a planning ontology of the domain of Aircraft Maintenance, Repair and Overhaul [MRO] at a USAF depot to produce a discrete event simulation model o...
Mike Graul, Perakath C. Benjamin, Arthur Keen, Fra...
ICTAI
2008
IEEE
15 years 4 months ago
Probabilistic Continuous Constraint Satisfaction Problems
Constraint programming has been used in many applications where uncertainty arises to model safe reasoning. The goal of constraint propagation is to propagate intervals of uncerta...
Elsa Carvalho, Jorge Cruz, Pedro Barahona
CBMS
2001
IEEE
15 years 1 months ago
Statistically Optimized Biopsy Strategy for the Diagnosis of Prostate Cancer
This paper presents a method for optimizing prostate needle biopsy, by creating a statistical atlas of the spatial distribution of prostate cancer from a large patient cohort. In ...
Dinggang Shen, Zhiqiang Lao, Edward Herskovits, Ga...
83
Voted
AI
1998
Springer
14 years 9 months ago
Uncertainty Measures of Rough Set Prediction
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
Ivo Düntsch, Günther Gediga