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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 8 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
DATE
2003
IEEE
145views Hardware» more  DATE 2003»
14 years 27 days ago
Optimal Reconfiguration Functions for Column or Data-bit Built-In Self-Repair
In modern SoCs, embedded memories occupy the largest part of the chip area and include an even larger amount of active devices. As memories are designed very tightly to the limits...
Michael Nicolaidis, Nadir Achouri, Slimane Boutobz...
OOPSLA
2007
Springer
14 years 1 months ago
Statistically rigorous java performance evaluation
Java performance is far from being trivial to benchmark because it is affected by various factors such as the Java application, its input, the virtual machine, the garbage collect...
Andy Georges, Dries Buytaert, Lieven Eeckhout
ASPDAC
2009
ACM
161views Hardware» more  ASPDAC 2009»
14 years 2 months ago
Risk aversion min-period retiming under process variations
— Recent advances in statistical timing analysis (SSTA) achieve great success in computing arrival times under variations by extending sum and maximum operations to random variab...
Jia Wang, Hai Zhou
WSC
2001
13 years 9 months ago
On the MSE robustness of batching estimators
Variance is a classical measure of a point estimator's sampling error. In steady-state simulation experiments, many estimators of this variance--or its square root, the stand...
Yingchieh Yeh, Bruce W. Schmeiser