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ICML
2010
IEEE
13 years 5 months ago
Active Risk Estimation
We address the problem of evaluating the risk of a given model accurately at minimal labeling costs. This problem occurs in situations in which risk estimates cannot be obtained f...
Christoph Sawade, Niels Landwehr, Steffen Bickel, ...
JMLR
2010
143views more  JMLR 2010»
12 years 11 months ago
Rademacher Complexities and Bounding the Excess Risk in Active Learning
Sequential algorithms of active learning based on the estimation of the level sets of the empirical risk are discussed in the paper. Localized Rademacher complexities are used in ...
Vladimir Koltchinskii
EUSFLAT
2001
116views Fuzzy Logic» more  EUSFLAT 2001»
13 years 6 months ago
Risk assessment in natural disasters with fuzzy probabilities
Risk assessment in regions with low earthquake activity is important for reinsurance companies and governmental building authorities. They need a complete picture of the possible ...
Uwe Wagner
ICSE
2003
IEEE-ACM
14 years 4 months ago
Architectural Level Risk Assessment Tool Based on UML Specifications
Recent evidences indicate that most faults in software systems are found in only a few of a system's components [1]. The early identification of these components allows an or...
T. Wang, Ahmed E. Hassan, Ajith Guedem, Walid Abde...
JMLR
2012
11 years 7 months ago
UPAL: Unbiased Pool Based Active Learning
In this paper we address the problem of pool based active learning, and provide an algorithm, called UPAL, that works by minimizing the unbiased estimator of the risk of a hypothe...
Ravi Ganti, Alexander Gray