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Russell Greiner
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Applications Pull
Technology Push
Budgeted Learning
Synthesized Data
Mushroom Data Set
Budget of 300
Average number of times each feature was queried during look-ahead
Average number each feature was queried during biased-robin
Look-Ahead vs. Round-Robin for budget of 1600 (long term)
Nursery Data Set
Budget = 200
Budget = 400
Votes Data Set
Budget = 50
Budget = 300
Car Data Set
Budget = 100
Budget = 200
KR-VS-KP
Budget = 1600
Results Related To Belief Nets
Quantifying the Uncertainty of a Belief Net Response
Using Query-Specific Variance Estimates to Combine Bayesian Classifiers
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Russell Greiner
Car Data Set: Budget = 100
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CAR DATA SET
> B=100
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