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ATAL
2007
Springer
16 years 24 days ago
Multiagent reinforcement learning and self-organization in a network of agents
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
Sherief Abdallah, Victor R. Lesser
VLSID
2006
IEEE
183views VLSI» more  VLSID 2006»
16 years 19 days ago
Design Challenges for High Performance Nano-Technology
This tutorial present the key aspects of design challenges and its solutions that are being experienced in VLSI design in the era of nano technology. The focus will be on design c...
Goutam Debnath, Paul J. Thadikaran
DEXA
2005
Springer
148views Database» more  DEXA 2005»
16 years 4 days ago
XG: A Data-Driven Computation Grid for Enterprise-Scale Mining
In this paper we introduce a novel architecture for data processing, based on a functional fusion between a data and a computation layer. We show how such an architecture can be le...
Radu Sion, Ramesh Natarajan, Inderpal Narang, Wen-...
CIKM
2005
Springer
16 years 2 days ago
Mining officially unrecognized side effects of drugs by combining web search and machine learning
We consider the problem of finding officially unrecognized side effects of drugs. By submitting queries to the Web involving a given drug name, it is possible to retrieve pages co...
Carlo Curino, Yuanyuan Jia, Bruce Lambert, Patrici...
EMSOFT
2004
Springer
16 years 12 hour ago
Making mechatronic agents resource-aware in order to enable safe dynamic resource allocation
Mechatronic systems are embedded software systems with hard real-time requirements. Predictability is of paramount importance for these systems. Thus, their design has to take the...
Sven Burmester, Matthias Gehrke, Holger Giese, Sim...
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