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» Transient Model for Jackson Networks and Its Approximation
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UAI
2008
13 years 9 months ago
Learning Arithmetic Circuits
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
Daniel Lowd, Pedro Domingos
COR
2008
131views more  COR 2008»
13 years 6 months ago
Queueing analysis of a server node in transaction processing middleware systems
Quantitative performance modeling of complex information systems is of immense importance for designing enterprise e-business infrastructures and applications. In this paper, we p...
Wei Xiong, Tayfur Altiok
IJCAI
1997
13 years 9 months ago
An Effective Learning Method for Max-Min Neural Networks
Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...
Loo-Nin Teow, Kia-Fock Loe
AAAI
2008
13 years 10 months ago
Factored Models for Probabilistic Modal Logic
Modal logic represents knowledge that agents have about other agents' knowledge. Probabilistic modal logic further captures probabilistic beliefs about probabilistic beliefs....
Afsaneh Shirazi, Eyal Amir
ANTSW
2008
Springer
13 years 9 months ago
Modeling Phase Transition in Self-organized Mobile Robot Flocks
We implement a self-organized flocking behavior in a group of mobile robots and analyze its transition from an aligned state to an unaligned state. We briefly describe the robot an...
Ali Emre Turgut, Cristián Huepe, Hande &Cce...