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» Learning the required number of agents for complex tasks
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AIM
2006
13 years 8 months ago
Comparative Analysis of Frameworks for Knowledge-Intensive Intelligent Agents
maintain awareness of its environment for a long period of time. Additionally, knowledge-intensive agents must be engineered such that their knowledge can be easily updated as envi...
Randolph M. Jones, Robert E. Wray III
AAAI
2006
13 years 9 months ago
Multi-Resolution Learning for Knowledge Transfer
Related objects may look similar at low-resolutions; differences begin to emerge naturally as the resolution is increased. By learning across multiple resolutions of input, knowle...
Eric Eaton
ATAL
2003
Springer
14 years 1 months ago
Multiagent diffusion and distributed optimization
Distributed problem solving by a multiagent system represents a promising approach to solving complex computational problems. However, many multiagent systems require certain degr...
Kwok Ching Tsui, Jiming Liu
ICC
2007
IEEE
133views Communications» more  ICC 2007»
14 years 2 months ago
Machine Learning for Automatic Defence Against Distributed Denial of Service Attacks
— Distributed Denial of Service attacks pose a serious threat to many businesses which rely on constant availability of their network services. Companies like Google, Yahoo and A...
Stefan Seufert, Darragh O'Brien
AAAI
2010
13 years 9 months ago
Active Inference for Collective Classification
Labeling nodes in a network is an important problem that has seen a growing interest. A number of methods that exploit both local and relational information have been developed fo...
Mustafa Bilgic, Lise Getoor