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KDD
2006
ACM
155views Data Mining» more  KDD 2006»
16 years 6 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
16 years 6 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
KDD
2003
ACM
109views Data Mining» more  KDD 2003»
16 years 6 months ago
Experimental design for solicitation campaigns
Data mining techniques are routinely used by fundraisers to select those prospects from a large pool of candidates who are most likely to make a financial contribution. These tech...
Uwe F. Mayer, Armand Sarkissian
HPCA
2008
IEEE
16 years 6 months ago
Automated microprocessor stressmark generation
Estimating the maximum power and thermal characteristics of a processor is essential for designing its power delivery system, packaging, cooling, and power/thermal management sche...
Ajay M. Joshi, Lieven Eeckhout, Lizy Kurian John, ...
HPCA
2006
IEEE
16 years 6 months ago
InfoShield: a security architecture for protecting information usage in memory
Cyber theft is a serious threat to Internet security. It is one of the major security concerns by both network service providers and Internet users. Though sensitive information c...
Guofei Gu, Hsien-Hsin S. Lee, Joshua B. Fryman, Ju...
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