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CCR
2002
97views more  CCR 2002»
14 years 9 months ago
Multi-modal network protocols
Most network protocols are uni-modal: they employ a single set of algorithms that allows them to cope well only within a narrow range of operating conditions. This rigid design re...
Rajesh Krishna Balan, Aditya Akella, Srinivasan Se...
79
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EC
2000
123views ECommerce» more  EC 2000»
14 years 9 months ago
Embodiment of Evolutionary Computation in General Agents
Holland's Adaptation in Natural and Artificial Systems largely dealt with how systems, comprised of many self-interested entities, can and should adapt as a whole. This semin...
Robert E. Smith, Claudio Bonacina, Paul E. Kearney...
AI
1998
Springer
14 years 9 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
79
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EXPERT
1998
86views more  EXPERT 1998»
14 years 9 months ago
IMACS: A Case Study in Real-World Planning
This article illustrates the complexities of real-world planning and how we can create AI planning systems to address them. We describe the IMACS Project (Interactive Manufacturab...
Satyandra K. Gupta, Dana S. Nau, William C. Regli
IJCV
1998
168views more  IJCV 1998»
14 years 9 months ago
Rapid Anisotropic Diffusion Using Space-Variant Vision
Many computer and robot vision applications require multi-scale image analysis. Classically, this has been accomplished through the use of a linear scale-space, which is constructe...
Bruce Fischl, Michael A. Cohen, Eric L. Schwartz