Adaptive submodularity, theory and applications in active learning and stochastic optimization

Adaptive submodularity, theory and applications in active learning and stochastic optimization

Varios problemas en inteligencia artificial exigen realizar de manera adaptativa una secuencia de resultados de decisiones bajo incertidumbre bajo observabilidad parcial. Resolver tales problemas de optimizacin̤ estocs̀tica es desafo̕ fundamental, aunque particularmente difc̕il.En este documento se...

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Enregistré dans:
Détails bibliographiques
Autres auteurs: Golovin Daniel, Krause Andreas, Association for the Advancement of Artificial Intelligence (AAAI)
Format: Livre
Langue:anglais
Sujets:
Optimizacin̤ matemt̀ica
Investigacin̤ operacional
Administracin̤
Mathematical optimization
Operations research
Management
Ciencias de la administracin̤
Optimizacin̤ estocs̀tica
Programacin̤ estocs̀tica
Optimizacin̤ estocs̀tica adaptativa
Submodularidad adaptativa
Polt̕ica voraz adaptativa
Algoritmo voraz adaptativo
Garant̕
Administration sciences
Stochastic optimization
Stochastic programming
Adaptive stochastic optimization
Adaptive submodularity
Adaptive ravenous policy
Adaptive random algorithm
Guaranteed
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Adaptive submodularity, theory and applications in active learning and stochastic optimization

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