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» Possibilistic Networks with Locally Weighted Knowledge Bases
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IJCAI
2001
13 years 9 months ago
Knowledge Extraction from Local Function Networks
Extracting rules from RBFs is not a trivial task because of nonlinear functions or high input dimensionality. In such cases, some of the hidden units of the RBF network have a ten...
Kenneth McGarry, Stefan Wermter, John MacIntyre
SDM
2009
SIAM
331views Data Mining» more  SDM 2009»
14 years 4 months ago
Privacy Preservation in Social Networks with Sensitive Edge Weights.
With the development of emerging social networks, such as Facebook and MySpace, security and privacy threats arising from social network analysis bring a risk of disclosure of con...
Jie Wang, Jinze Liu, Jun Zhang, Lian Liu
INFOCOM
2010
IEEE
13 years 6 months ago
Max-Contribution: On Optimal Resource Allocation in Delay Tolerant Networks
—This is by far the first paper considering joint optimization of link scheduling, routing and replication for disruption-tolerant networks (DTNs). The optimization problems for...
Kyunghan Lee, Yung Yi, Jaeseong Jeong, Hyungsuk Wo...
ICWN
2007
13 years 9 months ago
A Taxonomy of Localization Schemes for Wireless Sensor Networks
Abstract Knowledge of nodes’ locations is an essential requirement for many applications. This paper surveys the current state of the art for localization schemes in sensor netwo...
Adel M. Youssef, Moustafa Youssef
ML
2006
ACM
131views Machine Learning» more  ML 2006»
13 years 7 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos