1041 search results - page 176 / 209 » Two Algorithms for Inducing Causal Models from Data |
PODS
2009
ACM
14 years 9 months ago
2009
ACM
We consider the the problem of tracking heavy hitters and quantiles in the distributed streaming model. The heavy hitters and quantiles are two important statistics for characteri...
ISPASS
2006
IEEE
14 years 2 months ago
2006
IEEE
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
ISM
2005
IEEE
14 years 2 months ago
2005
IEEE
Segmentation of continuous audio is important for speaker indexing. The reliability of models in speaker indexing depends much on segmentation. Commonly used method is based on th...
AIR
2004
13 years 8 months ago
2004
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
CSDA
2008
13 years 8 months ago
2008
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...