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NN
2006
Springer
13 years 6 months ago
Propagation and control of stochastic signals through universal learning networks
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
Kotaro Hirasawa, Shingo Mabu, Jinglu Hu
TSMC
2010
13 years 1 months ago
Efficient Sensor Selection for Active Information Fusion
In our previous paper [1], we formalized an active information fusion framework based on dynamic Bayesian networks to provide active information fusion. This paper focuses on a ce...
Yongmian Zhang, Qiang Ji
APNOMS
2009
Springer
13 years 4 months ago
Network Partitioning and Self-sizing Methods for QoS Management with Autonomic Characteristics
The inherent and increasing complexity, heterogeneity and unpredictability of computer networks make the task of managing these systems highly complex. The autonomic computing para...
Romildo Martins da Silva Bezerra, Joberto Sé...
UAI
2004
13 years 8 months ago
Solving Factored MDPs with Continuous and Discrete Variables
Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
Carlos Guestrin, Milos Hauskrecht, Branislav Kveto...
CVPR
2006
IEEE
14 years 9 months ago
Inferring Facial Action Units with Causal Relations
A system that could automatically analyze the facial actions in real time have applications in a number of different fields. However, developing such a system is always a challeng...
Yan Tong, Wenhui Liao, Qiang Ji