518 search results - page 80 / 104 » SMDS Measurements and Modeling to Predict Performance |
GLVLSI
2006
IEEE
15 years 4 months ago
2006
IEEE
Process variations have become a key concern of circuit designers because of their significant, yet hard to predict impact on performance and signal integrity of VLSI circuits. St...
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BMCBI
2010
14 years 10 months ago
2010
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
BMCBI
2010
14 years 10 months ago
2010
Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
AAAI
2004
14 years 11 months ago
2004
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
IJMMS
2008
14 years 10 months ago
2008
We present automated, real-time models built with machine learning algorithms which use videotapes of subjects' faces in conjunction with physiological measurements to predic...