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UAI
1993
15 years 8 months ago
Using Causal Information and Local Measures to Learn Bayesian Networks
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
Wai Lam, Fahiem Bacchus
TCAD
1998
127views more  TCAD 1998»
15 years 6 months ago
Gate-level power estimation using tagged probabilistic simulation
In this paper, we present a probabilistic simulation technique to estimate the power consumption of a cmos circuit under a general delay model. This technique is based on the noti...
Chih-Shun Ding, Chi-Ying Tsui, Massoud Pedram
CLUSTER
2003
IEEE
16 years 2 days ago
Coordinated Checkpoint versus Message Log for Fault Tolerant MPI
— Large Clusters, high availability clusters and Grid deployments often suffer from network, node or operating system faults and thus require the use of fault tolerant programmin...
Aurelien Bouteiller, Pierre Lemarinier, Gér...
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
16 years 28 days ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
DAC
2006
ACM
15 years 8 months ago
Systematic software-based self-test for pipelined processors
Software-based self-test (SBST) has recently emerged as an effective methodology for the manufacturing test of processors and other components in systems-on-chip (SoCs). By moving ...
Mihalis Psarakis, Dimitris Gizopoulos, Miltiadis H...