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» Computing Minimal Diagnoses with Critical Set Algorithms
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ACSD
2007
IEEE
102views Hardware» more  ACSD 2007»
15 years 3 months ago
Sensor Minimization Problems with Static or Dynamic Observers for Fault Diagnosis
We study sensor minimization problems in the context of fault diagnosis. Fault diagnosis consists in synthesizing a diagnoser that observes a given plant and identifies faults in...
Franck Cassez, Stavros Tripakis, Karine Altisen
INFOCOM
2007
IEEE
15 years 3 months ago
Diagnosing Link-Level Anomalies Using Passive Probes
Abstract—In this paper, we develop passive network tomography techniques for inferring link-level anomalies like excessive loss rates and delay from path-level measurements. Our ...
Shipra Agrawal, K. V. M. Naidu, Rajeev Rastogi
CEC
2005
IEEE
15 years 3 months ago
A genetic algorithm for energy minimization in bio-molecular systems
Energy minimization algorithms for bio-molecular systems are critical to applications such as the prediction of protein folding. Conventional energy minimization methods such as th...
Xiaochun Weng, Lutz Hamel, Lenore M. Martin, Joan ...
DATE
2000
IEEE
75views Hardware» more  DATE 2000»
15 years 2 months ago
Layout Compaction for Yield Optimization via Critical Area Minimization
This paper presents a new compaction algorithm to improve the yield of IC layout. The yield is improved by reducing the area where the faults are more likely to happen known as cr...
Youcef Bourai, C.-J. Richard Shi
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
15 years 10 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker