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PRL
2011
8 years 8 months ago
A Bayes-true data generator for evaluation of supervised and unsupervised learning methods
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...
JMLR
2008
150views more  JMLR 2008»
9 years 5 months ago
Discriminative Learning of Max-Sum Classifiers
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
Vojtech Franc, Bogdan Savchynskyy
IJAR
2008
118views more  IJAR 2008»
9 years 5 months ago
Dynamic multiagent probabilistic inference
Cooperative multiagent probabilistic inference can be applied in areas such as building surveillance and complex system diagnosis to reason about the states of the distributed unc...
Xiangdong An, Yang Xiang, Nick Cercone
KR
2004
Springer
9 years 11 months ago
Reasoning about Knowledge by Variable Forgetting
In this paper, we investigate knowledge reasoning within a simple framework called knowledge structure. We use variable forgetting as a basic operation for one agent to reason abo...
Kaile Su, Guanfeng Lv, Yan Zhang
ICC
2007
IEEE
119views Communications» more  ICC 2007»
10 years 5 days ago
On Channel State Inference and Prediction Using Observable Variables in 802.11b Network
—Performance of cross-layer protocols that recommend the relay of corrupted packets to higher layers can be improved significantly by accurately inferring/predicting the bit erro...
Shirish S. Karande, Syed A. Khayam, Yongju Cho, Ki...
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