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CORR
2007
Springer
164views Education» more  CORR 2007»
13 years 7 months ago
Consistency of the group Lasso and multiple kernel learning
We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...
Francis Bach
ICASSP
2011
IEEE
12 years 11 months ago
Score fusion and calibration in multiple language detectors with large performance variation
In a large-scale language detection task, performance variation found between different component systems and different target languages has an adverse effect to the pooled error ...
Raymond W. M. Ng, Cheung-Chi Leung, Tan Lee, Bin M...
ECAI
1994
Springer
13 years 11 months ago
Constraint Satisfaction for Multiple Capacitated Job Shop Scheduling
We introduce the multiple capacitated job shop scheduling problem as a generalization of the job shop scheduling problem. In this problem machines may process several operations s...
W. P. M. Nuijten, Emile H. L. Aarts
JSS
2010
104views more  JSS 2010»
13 years 2 months ago
Using hybrid algorithm for Pareto efficient multi-objective test suite minimisation
Test suite minimisation techniques seek to reduce the effort required for regression testing by selecting a subset of test suites. In previous work, the problem has been considere...
Shin Yoo, Mark Harman
BMCBI
2007
121views more  BMCBI 2007»
13 years 7 months ago
A constrained polynomial regression procedure for estimating the local False Discovery Rate
Background: In the context of genomic association studies, for which a large number of statistical tests are performed simultaneously, the local False Discovery Rate (lFDR), which...
Cyril Dalmasso, Avner Bar-Hen, Philippe Broët