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ECML
2003
Springer
15 years 7 months ago
A Two-Level Learning Method for Generalized Multi-instance Problems
In traditional multi-instance (MI) learning, a single positive instance in a bag produces a positive class label. Hence, the learner knows how the bag’s class label depends on th...
Nils Weidmann, Eibe Frank, Bernhard Pfahringer
CEC
2009
IEEE
15 years 5 months ago
A simple multi-objective optimization algorithm for the urban transit routing problem
— The urban transit routing problem (UTRP) for public transport systems involves finding a set of efficient transit routes to meet customer demands. The UTRP is an NPHard, high...
Lang Fan, Christine L. Mumford, Dafydd Evans
AAAI
2007
15 years 4 months ago
Restart Schedules for Ensembles of Problem Instances
The mean running time of a Las Vegas algorithm can often be dramatically reduced by periodically restarting it with a fresh random seed. The optimal restart schedule depends on th...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
WWW
2008
ACM
16 years 2 months ago
Algorithm for stochastic multiple-choice knapsack problem and application to keywords bidding
We model budget-constrained keyword bidding in sponsored search auctions as a stochastic multiple-choice knapsack problem (S-MCKP) and design an algorithm to solve S-MCKP and the ...
Yunhong Zhou, Victor Naroditskiy
ICIP
2006
IEEE
16 years 3 months ago
Robust Bundle Adjustment for Structure from Motion
Structure from motion (SFM) is the problem of reconstructing the geometry of a scene from a stream of images. In this problem, the geometry of the scene must be inferred from imag...
Ji Zhang, Mireille Boutin, Daniel G. Aliaga