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NIPS
2007
15 years 9 months ago
Multiple-Instance Active Learning
We present a framework for active learning in the multiple-instance (MI) setting. In an MI learning problem, instances are naturally organized into bags and it is the bags, instea...
Burr Settles, Mark Craven, Soumya Ray
GRAPHICSINTERFACE
2004
15 years 9 months ago
The Effects of Feedback on Targeting with Multiple Moving Targets
A number of task settings involve selection of objects from dynamic visual environments with multiple moving targets. Target selection is difficult in these settings because objec...
David Mould, Carl Gutwin
WSC
2004
15 years 9 months ago
A Large Deviations Perspective on Ordinal Optimization
We consider the problem of optimal allocation of computing budget to maximize the probability of correct selection in the ordinal optimization setting. This problem has been studi...
Peter W. Glynn, Sandeep Juneja
IJCAI
1993
15 years 9 months ago
Diagnosing and Solving Over-Determined Constraint Satisfaction Problems
Constraint relaxation is a frequently used technique for managing over-determined constraint satisfaction problems. A problem in constraint relaxation is the selection of the appr...
R. R. Bakker, F. Dikker, F. Tempelman, P. M. Wognu...
HM
2010
Springer
146views Optimization» more  HM 2010»
15 years 7 months ago
An Improved Memetic Algorithm for Break Scheduling
In this paper we consider solving a complex real life break scheduling problem. This problem of high practical relevance arises in many working areas, e.g. in air traffic control a...
Magdalena Widl, Nysret Musliu