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AAAI
2012
13 years 3 months ago
Advances in Lifted Importance Sampling
We consider lifted importance sampling (LIS), a previously proposed approximate inference algorithm for statistical relational learning (SRL) models. LIS achieves substantial vari...
Vibhav Gogate, Abhay Kumar Jha, Deepak Venugopal
106
Voted
WEBI
2009
Springer
15 years 7 months ago
Adaptive Distributed Intrusion Detection Using Parametric Model
Due to the increasing demands for network security, distributed intrusion detection has become a hot research topic in computer science. However, the design and maintenance of the...
Jun Gao, Weiming Hu, Xiaoqin Zhang, Xi Li
HPCC
2007
Springer
15 years 6 months ago
Continuous Adaptive Outlier Detection on Distributed Data Streams
In many applications, stream data are too voluminous to be collected in a central fashion and often transmitted on a distributed network. In this paper, we focus on the outlier det...
Liang Su, Weihong Han, Shuqiang Yang, Peng Zou, Ya...
WEA
2004
Springer
129views Algorithms» more  WEA 2004»
15 years 6 months ago
Experimental Comparison of Greedy Randomized Adaptive Search Procedures for the Maximum Diversity Problem
Abstract. The maximum diversity problem (MDP) consists of identifying optimally diverse subsets of elements from some larger collection. The selection of elements is based on the d...
Geiza C. Silva, Luiz Satoru Ochi, Simone L. Martin...
106
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CSE
2009
IEEE
15 years 4 months ago
Adapting Privacy-Preserving Computation to the Service Provider Model
There are many applications for Secure Multi-Party Computation (SMC), but practical adoption is still an issue. One reason is that the business model of the application does not m...
Florian Kerschbaum