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ICMLA
2009
14 years 8 months ago
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapu...
BPM
2008
Springer
188views Business» more  BPM 2008»
15 years 13 days ago
Social Software for Modeling Business Processes
Abstract. The aim of this paper is to show how the use of social networks may help users to behave as modelers they trust. Users are guided in this respect within the context of an...
Agnes Koschmider, Minseok Song, Hajo A. Reijers
ISI
2006
Springer
14 years 10 months ago
Inferring Privacy Information from Social Networks
Since privacy information can be inferred via social relations, the privacy confidentiality problem becomes increasingly challenging as online social network services are more popu...
Jianming He, Wesley W. Chu, Zhenyu Liu
JUCS
2010
157views more  JUCS 2010»
14 years 9 months ago
Entropy Optimization of Social Networks Using an Evolutionary Algorithm
: Recent work on social networks has tackled the measurement and optimization of these networks’ robustness and resilience to both failures and attacks. Different metrics have be...
Maytham Safar, Nosayba El-Sayed, Khaled Mahdi, Dav...
CHI
2006
ACM
15 years 10 months ago
Quantifying interpersonal influence in face-to-face conversations based on visual attention patterns
A novel measure for automatically quantifying the amount of interpersonal influence present in face-toface conversations is proposed based on the visualattention patterns of the p...
Kazuhiro Otsuka, Junji Yamato, Yoshinao Takemae, H...