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» On Computing Functions with Uncertainty
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SIGCOMM
1997
ACM
14 years 1 months ago
A Framework for Robust Measurement-Based Admission Control
— Measurement-based admission control (MBAC) is an attractive mechanism to concurrently offer quality of service (QoS) to users, without requiring a priori traffic specificatio...
Matthias Grossglauser, David N. C. Tse
NIPS
2007
13 years 10 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
AUTOMATICA
2007
154views more  AUTOMATICA 2007»
13 years 9 months ago
A globally stable saturated desired compensation adaptive robust control for linear motor systems with comparative experiments
The recently proposed saturated adaptive robust controller is integrated with desired trajectory compensation to achieve global stability with9 much improved tracking performance....
Yun Hong, Bin Yao
IJCSS
2006
67views more  IJCSS 2006»
13 years 9 months ago
Recursive Filter Design for Estimating Time Varying Multijoint Human Arm Viscoelasticity
The time varying human multijoint arm dynamics can be modeled by two factors, simplified musculoskeletal dynamics and the uncertainty factor consisting of measurement noises and m...
Mingcong Deng, Akira Inoue, Hiroaki Gomi, Yoichi H...
ICDM
2009
IEEE
107views Data Mining» more  ICDM 2009»
13 years 6 months ago
Naive Bayes Classification of Uncertain Data
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, R...