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LSSC
2007
Springer
14 years 4 months ago
Probabilistic Model of Ant Colony Optimization for Multiple Knapsack Problem
The Ant Colony Optimization (ACO) algorithms are being applied successfully to a wide range of problems. ACO algorithms could be good alternatives to existing algorithms for hard c...
Stefka Fidanova
PAMI
2010
132views more  PAMI 2010»
13 years 8 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
CDC
2010
IEEE
131views Control Systems» more  CDC 2010»
13 years 1 months ago
State estimation of two-time scale multiple models with unmeasurable premise variables. Application to biological reactors
— This paper deals with the state estimation of nonlinear systems. The systems under study are characterized by two-time scale models. The state estimation is performed by design...
Anca Maria Nagy-Kiss, Benoît Marx, Gilles Mo...
TASLP
2002
84views more  TASLP 2002»
13 years 9 months ago
Maximum likelihood multiple subspace projections for hidden Markov models
The first stage in many pattern recognition tasks is to generate a good set of features from the observed data. Usually, only a single feature space is used. However, in some compl...
Mark J. F. Gales
BMCBI
2006
156views more  BMCBI 2006»
13 years 10 months ago
Bayesian models for pooling microarray studies with multiple sources of replications
Background: Biologists often conduct multiple but different cDNA microarray studies that all target the same biological system or pathway. Within each study, replicate slides with...
Erin M. Conlon, Joon J. Song, Jun S. Liu