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NIPS
2008
15 years 8 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
WCE
2007
15 years 8 months ago
Power Flow Modelling of a Self-excited Induction Generator
—This paper presents power flow models of a self-excited induction generator. These models are used for steady-state power flow calculation in electric power systems in which a g...
Thanatchai Kulworawanichpong, P. Sangsarawut
ENTCS
2010
127views more  ENTCS 2010»
15 years 7 months ago
Combining Model Reductions
Molecular biological models usually suffer from a large combinatorial explosion. Indeed, proteins form complexes and modify each others, which leads to the formation of a huge num...
Ferdinanda Camporesi, Jérôme Feret, H...
210
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DSP
2008
15 years 7 months ago
Extension of higher-order HMC modeling with application to image segmentation
In this work, we propose to improve the neighboring relationship ability of the Hidden Markov Chain (HMC) model, by extending the memory lengthes of both the Markov chain process ...
Lamia Benyoussef, Cyril Carincotte, Stéphan...
MANSCI
2008
142views more  MANSCI 2008»
15 years 6 months ago
Predicting Product Purchase from Inferred Customer Similarity: An Autologistic Model Approach
Product recommendation models are key tools in customer relationship management (CRM). This study develops a product recommendation model based upon the principle that customer pr...
Sangkil Moon, Gary J. Russell