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APPROX
2005
Springer
136views Algorithms» more  APPROX 2005»
15 years 3 months ago
What About Wednesday? Approximation Algorithms for Multistage Stochastic Optimization
The field of stochastic optimization studies decision making under uncertainty, when only probabilistic information about the future is available. Finding approximate solutions to...
Anupam Gupta, Martin Pál, R. Ravi, Amitabh ...
ICCV
2009
IEEE
16 years 2 months ago
TagProp: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation
Image auto-annotation is an important open problem in computer vision. For this task we propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images a...
Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek...
ICDM
2009
IEEE
199views Data Mining» more  ICDM 2009»
15 years 4 months ago
Active Learning with Adaptive Heterogeneous Ensembles
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
Zhenyu Lu, Xindong Wu, Josh Bongard
LAWEB
2009
IEEE
15 years 4 months ago
Policy Based Protection and Personalized Generation of Web Content
Abstract—The World Wide Web offers easy sharing of information, but provides only few options for the protection of sensitive information and other sensitive resources. Tradition...
Sergej Zerr, Daniel Olmedilla, Juri Luca De Coi, W...
AGS
2009
Springer
15 years 4 months ago
Pogamut 3 Can Assist Developers in Building AI (Not Only) for Their Videogame Agents
Many research projects oriented on control mechanisms of virtual agents in videogames have emerged in recent years. However, this boost has not been accompanied with the emergence ...
Jakub Gemrot, Rudolf Kadlec, Michal Bída, O...