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NIPS
2008
14 years 11 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
IJCAI
2007
14 years 11 months ago
WiFi-SLAM Using Gaussian Process Latent Variable Models
WiFi localization, the task of determining the physical location of a mobile device from wireless signal strengths, has been shown to be an accurate method of indoor and outdoor l...
Brian Ferris, Dieter Fox, Neil D. Lawrence
89
Voted
JMLR
2010
141views more  JMLR 2010»
14 years 4 months ago
Hierarchical Gaussian Process Regression
We address an approximation method for Gaussian process (GP) regression, where we approximate covariance by a block matrix such that diagonal blocks are calculated exactly while o...
Sunho Park, Seungjin Choi
FM
2009
Springer
127views Formal Methods» more  FM 2009»
15 years 4 months ago
Automated Property Verification for Large Scale B Models
Michael Leuschel, Jérôme Falampin, Fa...
IPPS
2007
IEEE
15 years 3 months ago
A Model for Large Scale Self-Stabilization
We introduce a new model for distributed algorithms designed for large scale systems that need a low-overhead solution to allow the processes to communicate with each other. We as...
Thomas Hérault, Pierre Lemarinier, Olivier ...