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» Learning the required number of agents for complex tasks
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ICML
2002
IEEE
14 years 8 months ago
Combining Labeled and Unlabeled Data for MultiClass Text Categorization
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
Rayid Ghani
AAAI
1990
13 years 9 months ago
Approximation Reformulations
Although computers are widely used to simulate complex physical systems, crafting the underlying models that enable computer analysis remains difficult. When a model is created fo...
Daniel S. Weld
AAIM
2005
Springer
119views Algorithms» more  AAIM 2005»
13 years 10 months ago
Locating Performance Monitoring Mobile Agents in Scalable Active Networks
The idea of active networks has been emerged in recent years to increase the processing power inside the network. The intermediate nodes such as routers will be able to host mobile...
Amir Hossein Hadad, Mehdi Dehghan, Hossein Pedram
AH
2008
Springer
14 years 2 months ago
Automatic Generation of User Adapted Learning Designs: An AI-Planning Proposal
Abstract. A Learning Design(LD) definition under the IMS-LD standard is a complex task for the instructor because it requires a lot of time, effort and previous knowledge of the ...
Lluvia Morales, Luis A. Castillo, Juan Ferná...
AAAI
2012
11 years 10 months ago
Real-Time Collaborative Planning with the Crowd
Planning is vital to a wide range of domains, including robotics, military strategy, logistics, itinerary generation and more, that both humans and computers find difficult. Col...
Walter S. Lasecki, Jeffrey P. Bigham, James F. All...