13414 search results - page 25 / 2683 » The distributed boosting algorithm |
KDD
2009
ACM
14 years 1 months ago
2009
ACM
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
ECML
2007
Springer
14 years 2 months ago
2007
Springer
Boosting methods are known to exhibit noticeable overfitting on some datasets, while being immune to overfitting on other ones. In this paper we show that standard boosting algorit...
TIT
2002
13 years 8 months ago
2002
Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...
DATE
2009
IEEE
14 years 3 months ago
2009
IEEE
Current trends in technology scaling foreshadow worsening transistor reliability as well as greater numbers of transistors in each system. The combination of these factors will so...
BIBE
2007
IEEE
14 years 2 months ago
2007
IEEE
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...