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» Dynamic and Static Influence Models on Starbucks Networks
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RP
2009
Springer
124views Control Systems» more  RP 2009»
15 years 4 months ago
Forward Analysis of Dynamic Network of Pushdown Systems Is Easier without Order
Dynamic networks of Pushdown Systems (PDN in short) have been introduced to perform static analysis of concurrent programs that may spawn threads dynamically. In this model the se...
Denis Lugiez
CDC
2008
IEEE
163views Control Systems» more  CDC 2008»
15 years 4 months ago
A cooperative deployment strategy for optimal sampling in spatiotemporal estimation
— This paper considers a network composed of robotic agents and static nodes performing spatial estimation of a dynamic physical processes. The physical process is modeled as a s...
Rishi Graham, Jorge Cortés
65
Voted
CIMCA
2005
IEEE
15 years 3 months ago
An Accelerating Learning Algorithm for Block-Diagonal Recurrent Neural Networks
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
Paris A. Mastorocostas, Dimitris N. Varsamis, Cons...
TRANSCI
2010
104views more  TRANSCI 2010»
14 years 4 months ago
Equilibrium Results for Dynamic Congestion Games
Consider the following game. Given a network with a continuum of users at some origins, suppose that users wish to reach specic destinations, but that they are not indierent to the...
Frédéric Meunier, Nicolas Wagner
PVLDB
2010
175views more  PVLDB 2010»
14 years 8 months ago
Dynamic Join Optimization in Multi-Hop Wireless Sensor Networks
To enable smart environments and self-tuning data centers, we are developing the Aspen system for integrating physical sensor data, as well as stream data coming from machine logi...
Svilen R. Mihaylov, Marie Jacob, Zachary G. Ives, ...