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116
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IAT
2003
IEEE
15 years 7 months ago
Integrating Reinforcement Learning, Bidding and Genetic Algorithms
This paper presents a multi-agent reinforcement learning bidding approach (MARLBS) for performing multi-agent reinforcement learning. MARLBS integrates reinforcement learning, bid...
Dehu Qi, Ron Sun
ATS
2000
IEEE
98views Hardware» more  ATS 2000»
15 years 7 months ago
Embedded core testing using genetic algorithms
Testing of embedded cores is very difficult in SOC (system-on-a-chip), since the core user may not know the gate level implementation of the core, and the controllability and obse...
Ruofan Xu, Michael S. Hsiao
129
Voted
CN
2002
98views more  CN 2002»
15 years 2 months ago
New models and algorithms for programmable networks
In todays IP networks most of the network control and management tasks are performed at the end points. As a result, many important network functions cannot be optimized due to la...
Danny Raz, Yuval Shavitt
ICIAP
2005
ACM
16 years 2 months ago
Greedy Algorithm for Local Contrast Enhancement of Images
Abstract. We present a technique that achieves local contrast enhancement by representing it as an optimization problem. For this, we first introduce a scalar objective function th...
Kartic Subr, Aditi Majumder, Sandy Irani
SCALESPACE
1999
Springer
15 years 6 months ago
Nonlinear PDEs and Numerical Algorithms for Modeling Levelings and Reconstruction Filters
In this paper we develop partial differential equations (PDEs) that model the generation of a large class of morphological filters, the levelings and the openings/closings by rec...
Petros Maragos, Fernand Meyer