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» A calculus for costed computations
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SDM
2009
SIAM
117views Data Mining» more  SDM 2009»
15 years 8 months ago
Spatially Cost-Sensitive Active Learning.
In active learning, one attempts to maximize classifier performance for a given number of labeled training points by allowing the active learning algorithm to choose which points...
Alexander Liu, Goo Jun, Joydeep Ghosh
FSTTCS
2007
Springer
15 years 5 months ago
"Rent-or-Buy" Scheduling and Cost Coloring Problems
We study several cost coloring problems, where we are given a graph and a cost function on the independent sets and are to find a coloring that minimizes the function costs of the...
Takuro Fukunaga, Magnús M. Halldórss...
GECCO
2005
Springer
15 years 4 months ago
Predicting healthcare costs using GAs
Predicting prospective healthcare costs is of increasing importance. Genetic search is used to discover attribute sets and associated posterior probability classifiers that predi...
Christopher R. Stephens, Henri Waelbroeck, S. Tall...
ESEM
2008
ACM
15 years 24 days ago
A survey on software cost estimation in the chinese software industry
Although a lot of attention has been paid to software cost estimation since 1960, making accurate effort and schedule estimation is still a challenge. To collect evidence and iden...
Da Yang, Qing Wang, Mingshu Li, Ye Yang, Kai Ye, J...
AAAI
2010
15 years 14 days ago
Cost-Sensitive Semi-Supervised Support Vector Machine
In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequa...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou