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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Ētahi atu kaituhi: Golovin Daniel, Krause Andreas, Association for the Advancement of Artificial Intelligence (AAAI)
Hōputu: Pukapuka
Reo:Ingarihi
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Urunga tuihono:Adaptive submodularity, theory and applications in active learning and stochastic optimization
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