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ATMOS
2007
177views Optimization» more  ATMOS 2007»
15 years 2 days ago
Approximate dynamic programming for rail operations
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
Warren B. Powell, Belgacem Bouzaïene-Ayari
MST
2010
187views more  MST 2010»
14 years 5 months ago
Distributed Approximation of Capacitated Dominating Sets
We study local, distributed algorithms for the capacitated minimum dominating set (CapMDS) problem, which arises in various distributed network applications. Given a network graph...
Fabian Kuhn, Thomas Moscibroda
ICIP
2007
IEEE
15 years 4 months ago
Buffer Constrained Proactive Dynamic Voltage Scaling for Video Decoding Systems
Significant power savings can be achieved on voltage/frequency configurable platforms by dynamically adapting the frequency and voltage according to the workload (complexity). Vid...
Emrah Akyol, Mihaela van der Schaar
NN
2006
Springer
127views Neural Networks» more  NN 2006»
14 years 10 months ago
The asymptotic equipartition property in reinforcement learning and its relation to return maximization
We discuss an important property called the asymptotic equipartition property on empirical sequences in reinforcement learning. This states that the typical set of empirical seque...
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
JUCS
2002
90views more  JUCS 2002»
14 years 10 months ago
How Large is the Set of Disjunctive Sequences?
: We consider disjunctive sequences, that is, infinite sequences (-words) having all finite words as infixes. It is shown that the set of all disjunctive sequences can be described...
Ludwig Staiger