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KDD
2009
ACM
204views Data Mining» more  KDD 2009»
16 years 5 months ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...
DAC
2003
ACM
16 years 6 months ago
A cost-driven lithographic correction methodology based on off-the-shelf sizing tools
As minimum feature sizes continue to shrink, patterned features have become significantly smaller than the wavelength of light used in optical lithography. As a result, the requir...
Puneet Gupta, Andrew B. Kahng, Dennis Sylvester, J...
SEMWEB
2007
Springer
15 years 11 months ago
Sampling and Soundness: Can We Have Both?
Recent research on model counting in CNF formulas has shown that a certain sampling method can yield results that are sound with a provably high probability. The key idea is to ite...
Carla P. Gomes, Jörg Hoffmann, Ashish Sabharw...
MTDT
2003
IEEE
100views Hardware» more  MTDT 2003»
15 years 10 months ago
Optimal Spare Utilization in Repairable and Reliable Memory Cores
Advances in System-on-Chip (SoC) technology rely on manufacturing and assembling high-performance system cores for many critical applications. Among these cores, memory occupies t...
Minsu Choi, Nohpill Park, Fabrizio Lombardi, Yong-...
SIAMAM
2000
90views more  SIAMAM 2000»
15 years 4 months ago
Local Strong Homogeneity of a Regularized Estimator
This paper deals with regularized pointwise estimation of discrete signals which contain large strongly homogeneous zones, where typically they are constant, or linear, or more gen...
Mila Nikolova