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» Probabilistic Analysis of Large Finite State Machines
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CI
2004
116views more  CI 2004»
14 years 9 months ago
Solution Generation with Qualitative Models of Preferences
We consider automated decision aids that help users select the best solution from a large set of options. For such tools to successfully accomplish their task, eliciting and repre...
Boi Faltings, Marc Torrens, Pearl Pu
61
Voted
SIAMSC
2008
129views more  SIAMSC 2008»
14 years 9 months ago
Bottom-Up Construction and 2: 1 Balance Refinement of Linear Octrees in Parallel
Abstract. In this article, we propose new parallel algorithms for the construction and 2:1 balance refinement of large linear octrees on distributed memory machines. Such octrees a...
Hari Sundar, Rahul S. Sampath, George Biros
ICPR
2000
IEEE
15 years 10 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
GLVLSI
2003
IEEE
180views VLSI» more  GLVLSI 2003»
15 years 2 months ago
3D direct vertical interconnect microprocessors test vehicle
The current trends in high performance integrated circuits are towards faster and more powerful circuits in the giga-hertz range and even further. As the more complex Integrated C...
John Mayega, Okan Erdogan, Paul M. Belemjian, Kuan...
AAAI
2008
14 years 12 months ago
A Scalable Jointree Algorithm for Diagnosability
Diagnosability is an essential property that determines how accurate any diagnostic reasoning can be on a system given any sequence of observations. An unobservable fault event in...
Anika Schumann, Jinbo Huang