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NIPS
2004
15 years 8 months ago
Computing regularization paths for learning multiple kernels
The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...
Francis R. Bach, Romain Thibaux, Michael I. Jordan
NC
1998
102views Neural Networks» more  NC 1998»
15 years 8 months ago
Outliers and Bayesian Inference
In this paper we report about an investigation in which we studied the properties of Bayes' inferred neural network classifiers in the context of outlier detection. The proble...
Peter Sykacek
CORR
2010
Springer
129views Education» more  CORR 2010»
15 years 6 months ago
The complexity of positive first-order logic without equality
We study the complexity of evaluating positive equality-free sentences of first-order (FO) logic over a fixed, finite structure B. This may be seen as a natural generalisation of ...
Florent R. Madelaine, Barnaby Martin
COR
2008
128views more  COR 2008»
15 years 6 months ago
Search-based software engineering
In the past five years there has been a dramatic increase in work on Search Based Software Engineering (SBSE), an approach to software engineering in which search based optimisatio...
Walter J. Gutjahr, Mark Harman
COMPUTING
2006
130views more  COMPUTING 2006»
15 years 6 months ago
Dynamic Data Driven Simulations in Stochastic Environments
To improve the predictions in dynamic data driven simulations (DDDAS) for subsurface problems, we propose the permeability update based on observed measurements. Based on measurem...
Craig C. Douglas, Yalchin Efendiev, Richard E. Ewi...