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» Modeling Relational Data by the Adjacency Model
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SRDS
2003
IEEE
15 years 9 months ago
Epidemic Spreading in Real Networks: An Eigenvalue Viewpoint
How will a virus propagate in a real network? Does an epidemic threshold exist for a finite powerlaw graph, or any finite graph? How long does it take to disinfect a network giv...
Yang Wang 0008, Deepayan Chakrabarti, Chenxi Wang,...
HRI
2007
ACM
15 years 8 months ago
Efficient model learning for dialog management
Intelligent planning algorithms such as the Partially Observable Markov Decision Process (POMDP) have succeeded in dialog management applications [10, 11, 12] because of their rob...
Finale Doshi, Nicholas Roy
FOIKS
2008
Springer
16 years 1 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn
WSC
2007
15 years 6 months ago
Using empirical demand data and common random numbers in an agent-based simulation of a distribution network
Agent-based simulation provides a methodology to investigate complex systems behavior, such as supply chains, while incorporating many empirical elements relative to both systems ...
William J. Sawaya
IQ
2007
15 years 5 months ago
Simulations Of Error Propagation For Prioritizing Data Accuracy Improvement Efforts
: Models of the association between input accuracy and output accuracy imply that, for any given application, the effect of input errors on the output error rate generally varies i...
Irit Askira Gelman