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SMC
2010
IEEE
121views Control Systems» more  SMC 2010»
13 years 6 months ago
Learning of personalized security settings
—While many cybersecurity tools are available to computer users, their default configurations often do not match needs of specific users. Since most modern users are not computer...
Mehrbod Sharifi, Eugene Fink, Jaime G. Carbonell
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
14 years 9 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
CONTEXT
2001
Springer
14 years 1 months ago
Learning Appropriate Contexts
Genetic Programming is extended so that the solutions being evolved do so in the context of local domains within the total problem domain. This produces a situation where different...
Bruce Edmonds
NIPS
2003
13 years 9 months ago
Learning Near-Pareto-Optimal Conventions in Polynomial Time
We study how to learn to play a Pareto-optimal strict Nash equilibrium when there exist multiple equilibria and agents may have different preferences among the equilibria. We focu...
Xiao Feng Wang, Tuomas Sandholm
IVC
2000
104views more  IVC 2000»
13 years 8 months ago
Learning spatio-temporal patterns for predicting object behaviour
Rule-based systems employed to model complex object behaviours, do not necessarily provide a realistic portrayal of true behaviour. To capture the real characteristics in a specif...
Neil Sumpter, Andrew J. Bulpitt