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» Importance Sampling for Continuous Time Bayesian Networks
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ISBRA
2009
Springer
15 years 6 months ago
Using Gene Expression Modeling to Determine Biological Relevance of Putative Regulatory Networks
Identifying gene regulatory networks from high-throughput gene expression data is one of the most important goals of bioinformatics, but it remains difficult to define what makes a...
Peter Larsen, Yang Dai
UM
2001
Springer
15 years 4 months ago
Recognizing Time Pressure and Cognitive Load on the Basis of Speech: An Experimental Study
In an experimental environment, we simulated the situation of a user who gives speech input to a system while walking through an airport. The time pressure on the subjects and the ...
Christian A. Müller, Barbara Großmann-H...
NIPS
2007
15 years 1 months ago
A neural network implementing optimal state estimation based on dynamic spike train decoding
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...
JUCS
2006
128views more  JUCS 2006»
14 years 11 months ago
A Web-Based Decision Support System for Chronic Diseases
: Individuals vary in survival chances due to differences in genetics, environmental exposures, and gene-environment interactions. These chances, as well as the contribution of eac...
Chi-Chan Chang, Chuen-Sheng Cheng, Yeu-Shiang Huan...
RTSS
2006
IEEE
15 years 5 months ago
Prediction-Based QoS Management for Real-Time Data Streams
With the emergence of large wired and wireless sensor networks, many real-time applications need to operate on continuous unbounded data streams. At the same time, many of these s...
Yuan Wei, Vibha Prasad, Sang Hyuk Son, John A. Sta...