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» Learning with cost intervals
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IUI
2009
ACM
16 years 3 months ago
A probabilistic mental model for estimating disruption
Adaptive software systems are intended to modify their appearance, performance or functionality to the needs and preferences of different users. A key bottleneck in building effec...
Bowen Hui, Grant Partridge, Craig Boutilier
MASCOTS
2004
15 years 7 months ago
Predicting When Not to Predict
File prefetching based on previous file access patterns has been shown to be an effective means of reducing file system latency by implicitly loading caches with files that are li...
Karl Brandt, Darrell D. E. Long, Ahmed Amer
CORR
2000
Springer
84views Education» more  CORR 2000»
15 years 6 months ago
Robust Classification for Imprecise Environments
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...
Foster J. Provost, Tom Fawcett
IJRR
2008
139views more  IJRR 2008»
15 years 6 months ago
Learning to Control in Operational Space
One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
Jan Peters, Stefan Schaal
ICDM
2009
IEEE
130views Data Mining» more  ICDM 2009»
16 years 28 days ago
Active Learning with Generalized Queries
—Active learning can actively select or construct examples to label to reduce the number of labeled examples needed for building accurate classifiers. However, previous works of...
Jun Du, Charles X. Ling