228 search results - page 17 / 46 » Large Deviation Methods for Approximate Probabilistic Infere... |
VLDB
2004
ACM
14 years 26 days ago
2004
ACM
Top-k queries based on ranking elements of multidimensional datasets are a fundamental building block for many kinds of information discovery. The best known general-purpose algor...
BCB
2010
13 years 2 months ago
2010
A major bottleneck in high-throughput protein crystallography is producing protein-structure models from an electrondensity map. In previous work, we developed Acmi, a probabilist...
SSDBM
2006
IEEE
14 years 1 months ago
2006
IEEE
In many modern applications, there are no exact values available to describe the data objects. Instead, the feature values are considered to be uncertain. This uncertainty is mode...
ML
2002
ACM
13 years 7 months ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
SIGMOD
1998
ACM
13 years 11 months ago
1998
ACM
We present new algorithms for computing approximate quantiles of large datasets in a single pass. The approximation guarantees are explicit, and apply without regard to the value ...