141 search results - page 8 / 29 » Distributed adaptive sampling using bounded-errors |
CGO
2003
IEEE
14 years 26 days ago
2003
IEEE
Optimizing programs at run-time provides opportunities to apply aggressive optimizations to programs based on information that was not available at compile time. At run time, prog...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
The problem of learning forest-structured discrete graphical models from i.i.d. samples is considered. An algorithm based on pruning of the Chow-Liu tree through adaptive threshol...
TREC
2001
13 years 9 months ago
2001
We used the YFILTER filtering system for experiments on updating profiles and setting thresholds. We developed a new method of using language models for updating profiles that is ...
MVA
2002
13 years 7 months ago
2002
This paper describes a Functionally-Distributed (FD) hand tracking method for hand-gesture-based wearable visual interfaces. The method is an extension of the Distributed Monte Ca...
SIGMOD
2008
ACM
14 years 7 months ago
2008
ACM
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...