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KDD
2009
ACM
204views Data Mining» more  KDD 2009»
15 years 10 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
15 years 10 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...
78
Voted
SEMWEB
2007
Springer
15 years 3 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 2 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»
14 years 9 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