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NIPS
1993
15 years 28 days ago
Credit Assignment through Time: Alternatives to Backpropagation
Learning to recognize or predict sequences using long-term context has many applications. However, practical and theoretical problems are found in training recurrent neural networ...
Yoshua Bengio, Paolo Frasconi
BIOSURVEILLANCE
2008
Springer
15 years 1 months ago
Dynamic Network Model for Predicting Occurrences of Salmonella at Food Facilities
Salmonella is among the most common food borne illnesses which may result from consumption of contaminated products. In this paper we model the co-occurrence data between USDA-cont...
Purnamrita Sarkar, Lujie Chen, Artur Dubrawski
CDC
2009
IEEE
130views Control Systems» more  CDC 2009»
15 years 4 months ago
Spectral analysis of virus spreading in random geometric networks
— In this paper, we study the dynamics of a viral spreading process in random geometric graphs (RGG). The spreading of the viral process we consider in this paper is closely rela...
Victor M. Preciado, Ali Jadbabaie
RTS
2006
176views more  RTS 2006»
14 years 11 months ago
Verifying distributed real-time properties of embedded systems via graph transformations and model checking
Component middleware provides dependable and efficient platforms that support key functional, and quality of service (QoS) needs of distributed real-time embedded (DRE) systems. C...
Gabor Madl, Sherif Abdelwahed, Douglas C. Schmidt
109
Voted
JSS
2007
109views more  JSS 2007»
14 years 11 months ago
Using Bayesian belief networks for change impact analysis in architecture design
Research into design rationale in the past has focused on argumentation-based design deliberations. These approaches cannot be used to support change impact analysis effectively ...
Antony Tang, Ann E. Nicholson, Yan Jin, Jun Han