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KDD
2010
ACM
175views Data Mining» more  KDD 2010»
14 years 25 days ago
Learning with cost intervals
Existing cost-sensitive learning methods work with unequal misclassification cost that is given by domain knowledge and appears as precise values. In many real-world applications,...
Xu-Ying Liu, Zhi-Hua Zhou
AMAI
2008
Springer
13 years 9 months ago
Recognition of interval Boolean functions
Interval functions constitute quite a special class of Boolean functions for which it is very easy and fast to determine their functional value on a specified input vector. Their ...
Ondrej Cepek, David Kronus, Petr Kucera
COMPUTING
2006
100views more  COMPUTING 2006»
13 years 9 months ago
Interval Arithmetic with Containment Sets
The idea of containment sets (csets) is due to Walster and Hansen, and the theory is mainly due to the first author. Now that floating point computation with infinities is widely a...
John D. Pryce, George F. Corliss
EOR
2006
130views more  EOR 2006»
13 years 9 months ago
A Benders decomposition approach for the robust spanning tree problem with interval data
The robust spanning tree problem is a variation, motivated by telecommunications applications, of the classic minimum spanning tree problem. In the robust spanning tree problem ed...
Roberto Montemanni
ISSS
2000
IEEE
155views Hardware» more  ISSS 2000»
14 years 1 months ago
Intervals in Software Execution Cost Analysis
Timing and power consumption of embedded systems are state and input data dependent. Formal analysis of such dependencies leads to intervals rather than single values. These inter...
Fabian Wolf, Rolf Ernst