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» Modeling Uncertainty in Context-Aware Computing
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ICML
2007
IEEE
14 years 9 months ago
Sparse probabilistic classifiers
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
Romain Hérault, Yves Grandvalet
EMMCVPR
2005
Springer
14 years 2 months ago
Reverse-Convex Programming for Sparse Image Codes
Abstract. Reverse-convex programming (RCP) concerns global optimization of a specific class of non-convex optimization problems. We show that a recently proposed model for sparse ...
Matthias Heiler, Christoph Schnörr
ECBS
2003
IEEE
95views Hardware» more  ECBS 2003»
14 years 1 months ago
FMC: An Approach Towards Architecture-Centric System Development
The architectural level plays a major role in the engineering of computer based systems. Having proper means for representing the architecture of a system is a crucial element of ...
Frank Keller, Siegfried Wendt
AIPS
1996
13 years 9 months ago
Event-Based Decompositions for Reasoning about External Change in Planners
An increasing number of planners can handle uncertainty in the domain or in action outcomes. However, less work has addressed building plans when the planner's world can chan...
Jim Blythe
JMLR
2010
101views more  JMLR 2010»
13 years 3 months ago
Exploiting Feature Covariance in High-Dimensional Online Learning
Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer...