1412 search results - page 202 / 283 » Selectivity Estimation using Probabilistic Models |
133
click to vote
ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
151
click to vote
SAC
2006
ACM
15 years 10 months ago
2006
ACM
This paper explores the generation of candidates, which is an important step in frequent itemset mining algorithms, from a theoretical point of view. Important notions in our prob...
126
click to vote
CBMS
2001
IEEE
15 years 8 months ago
2001
IEEE
This paper presents a method for optimizing prostate needle biopsy, by creating a statistical atlas of the spatial distribution of prostate cancer from a large patient cohort. In ...
133
click to vote
IDEAL
2004
Springer
15 years 10 months ago
2004
Springer
Building genetic regulatory networks from time series data of gene expression patterns is an important topic in bioinformatics. Probabilistic Boolean networks (PBNs) have been deve...
133
click to vote
PR
2008
15 years 4 months ago
2008
This paper addresses the pose recovery problem of a particular articulated object: the human body. In this model-based approach, the 2D-shape is associated to the corresponding st...