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Titlebook: New Perspectives in Partial Least Squares and Related Methods; Herve Abdi,Wynne W. Chin,Laura Trinchera Conference proceedings 2013 Spring

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Anjali Krishnan,Nikolaus Kriegeskorte,Hervé Abdisolved by Dynamic Programming (DP), by means of the well-known Bellman equation. This equation connects the value functions between two successive times by means of a static optimization problem over the control set and parameterized by the state. This provides an optimal feedback. We conclude this
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Edith Le Floch,Laura Trinchera,Vincent Guillemot,Arthur Tenenhaus,Jean-Baptiste Poline,Vincent Frouisolved by Dynamic Programming (DP), by means of the well-known Bellman equation. This equation connects the value functions between two successive times by means of a static optimization problem over the control set and parameterized by the state. This provides an optimal feedback. We conclude this
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Natasa Kovacevic,Hervé Abdi,Derek Beaton,Anthony R. McIntoshsolved by Dynamic Programming (DP), by means of the well-known Bellman equation. This equation connects the value functions between two successive times by means of a static optimization problem over the control set and parameterized by the state. This provides an optimal feedback. We conclude this
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Nathan Churchill,Robyn Spring,Hervé Abdi,Natasa Kovacevic,Anthony R. McIntosh,Stephen Strothersolved by Dynamic Programming (DP), by means of the well-known Bellman equation. This equation connects the value functions between two successive times by means of a static optimization problem over the control set and parameterized by the state. This provides an optimal feedback. We conclude this
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Tommy Löfstedt,Mohamed Hanafi,Johan Tryggh the crowded cytoplasm to reach replication sites such as the nucleus to deliver their genetic material through the nuclear pores. Virus motion into the cytoplasm is composed of periods described as Brownian, while others are directed motion along microtubules. While the cytoplasmic movement of vir
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Wynne W. Chin,Yong Jin Kim,Gunhee Leecally characterized by the inter-arrival times of customers and a service process by the service times of customers, the arrival process and the service process are modeled in n- work calculus respectively by some arrival curve that (maybe probabilis- cally) upper-bounds the cumulative arrival and b
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