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NIPS
2008
13 years 10 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
ISCAS
2003
IEEE
127views Hardware» more  ISCAS 2003»
14 years 2 months ago
Nonuniform sampling driver design for optimal ADC utilization
Deliberate nonuniform sampling promises increased equivalent sampling rates with reduced overall hardware costs of the DSP system. The equivalent sampling rate is the sampling rat...
Frank Papenfuss, Yuri Artyukh, E. Boole, Dirk Timm...
TPHOL
2009
IEEE
14 years 3 months ago
Formalising Observer Theory for Environment-Sensitive Bisimulation
Abstract. We consider a formalisation of a notion of observer (or intruder) theories, commonly used in symbolic analysis of security protocols. An observer theory describes the kno...
Jeremy E. Dawson, Alwen Tiu
SUM
2009
Springer
14 years 3 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
IPSN
2005
Springer
14 years 2 months ago
Fading observation alignment via feedback
Abstract— In some remote sensing applications, the functional relationship between the source being observed and the sensor readings may not be known. Because of communication co...
Anand D. Sarwate, Michael Gastpar