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RECOMB
2004
Springer
14 years 9 months ago
Learning Regulatory Network Models that Represent Regulator States and Roles
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
Keith Noto, Mark Craven
ECCV
2008
Springer
14 years 11 months ago
A Dynamic Conditional Random Field Model for Joint Labeling of Object and Scene Classes
Object detection and pixel-wise scene labeling have both been active research areas in recent years and impressive results have been reported for both tasks separately. The integra...
Christian Wojek, Bernt Schiele
WISE
2006
Springer
14 years 3 months ago
Finding Reliable Recommendations for Trust Model
This paper presents a novel context-based approach to find reliable recommendations for trust model in ubiquitous environments. Context is used in our approach to analyze the userâ...
Weiwei Yuan, Donghai Guan, Sungyoung Lee, Young-Ko...
PRL
2008
88views more  PRL 2008»
13 years 9 months ago
Time-efficient spam e-mail filtering using n-gram models
In this paper, we propose spam e-mail filtering methods having high accuracies and low time complexities. The methods are based on the n-gram approach and a heuristics which is re...
Ali Çiltik, Tunga Güngör
CEC
2008
IEEE
13 years 11 months ago
Evolving scale-free topologies using a Gene Regulatory Network model
Abstract-- A novel approach to generating scale-free network topologies is introduced, based on an existing artificial Gene Regulatory Network model. From this model, different int...
Miguel Nicolau, Marc Schoenauer