Results 251 to 260 of about 70,225 (278)
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Decision Trees with Parametric Enlarged Local Search
2002Lately, decision trees became an important tool in marketing research, e.g. to classify potential customers in order to send individual ads to them. In contrast to many other situations here the classification should be done in such a manner that not the inhomogeneity of subsets is minimised but a cost orientated loss function.
Andreas Hilbert, Henning Paul
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Visual search analysis using parametric fixations
Multimedia Tools and Applications, 2022Mohsina Ishrat, Pawanesh Abrol
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Real time scheduling with a budget: Parametric-search is better than binary search
Information Processing Letters, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Parametrization and Balancing Local and Global Search
2012This chapter is devoted to the parametrization of memetic algorithms and how to find a good balance between global and local search. This is one of the most pressing questions when designing a hybrid algorithm. The idea of hybridization is to combine the advantages of different components.
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Parametric Optimization: Stochastic Gradients and Adaptive Search
2014This chapter focusses on simulation-based techniques for solving stochastic problems of parametric optimization, also popularly called static optimization problems. Such problems have been defined in Chap. 3.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma
Ca-A Cancer Journal for Clinicians, 2020Aaron J Grossberg +2 more
exaly