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JMLR
2006
169views more  JMLR 2006»
13 years 7 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
DATE
2010
IEEE
171views Hardware» more  DATE 2010»
14 years 23 days ago
Digital statistical analysis using VHDL
—Variations of process parameters have an important impact on reliability and yield in deep sub micron IC technologies. One methodology to estimate the influence of these effects...
Manfred Dietrich, Uwe Eichler, Joachim Haase
ICCV
2007
IEEE
14 years 9 months ago
Optimization and Learning for Registration of Moving Dynamic Textures
We address the problem of registering a sequence of images in a moving dynamic texture video. This involves optimization with respect to camera motion, the average image, and the ...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
WSC
1998
13 years 9 months ago
Advanced Methods for Simulation Output Analysis
This paper reviews statistical methods for analyzing output data from computer simulations of single systems. In particular, it focuses on the problems of choosing initial conditi...
Christos Alexopoulos, Andrew F. Seila
ICCD
2007
IEEE
105views Hardware» more  ICCD 2007»
14 years 2 months ago
Circuit-level mismatch modelling and yield optimization for CMOS analog circuits
A methodology for constructing circuit-level mismatch models and performing yield optimization is presented for CMOS analog circuits. The methodology combines statistical techniqu...
Mingjing Chen, Alex Orailoglu