838 search results - page 104 / 168 » Modeling skew in data streams |
LCPC
1991
Springer
14 years 1 months ago
1991
Springer
The dependence ow graph is a novel intermediate representation for optimizingand parallelizing compilersthat can be viewed as an executable representation of program dependences. ...
JMLR
2012
12 years 12 days ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
SOFSEM
2009
Springer
14 years 6 months ago
2009
Springer
This paper considers online compression algorithms that use at most polylogarithmic space (plogon). These algorithms correspond to compressors in the data stream model. We study th...
KDD
2009
ACM
14 years 10 months ago
2009
ACM
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
GECCO
2004
Springer
14 years 3 months ago
2004
Springer
Data mining has recently attracted attention as a set of efficient techniques that can discover patterns from huge data. More recent advancements in collecting massive evolving da...