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AAAI
2012
13 years 10 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
221
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PIMRC
2008
IEEE
16 years 2 months ago
Distributed scheduling with end-to-end compensation in multihop ad hoc networks
Abstract-In this paper, we investigate the problem of providing QoS to end-to-end flows in multihop ad hoc networks with channel errors through packet scheduling. Each flow is asso...
Yijiang Sun, Victor O. K. Li, Ka-Cheong Leung
JSA
2007
191views more  JSA 2007»
15 years 7 months ago
Automated memory-aware application distribution for Multi-processor System-on-Chips
Mapping of applications on a Multiprocessor System-on-Chip (MP-SoC) is a crucial step to optimize performance, energy and memory constraints at the same time. The problem is formu...
Heikki Orsila, Tero Kangas, Erno Salminen, Timo D....
242
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CORR
2011
Springer
177views Education» more  CORR 2011»
14 years 11 months ago
Gossip PCA
Eigenvectors of data matrices play an important role in many computational problems, ranging from signal processing to machine learning and control. For instance, algorithms that ...
Satish Babu Korada, Andrea Montanari, Sewoong Oh
222
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AGENTS
2001
Springer
15 years 11 months ago
Collaborative multiagent learning for classification tasks
Multiagent learning di ers from standard machine learning in that most existing learning methods assume that all knowledge is available locally in a single agent. In multiagent sy...
Pragnesh Jay Modi, Wei-Min Shen