529 search results - page 61 / 106 » Optimizing the distribution of large data sets in theory and... |
SIGMOD
2009
ACM
14 years 9 months ago
2009
ACM
Research has investigated mappings among data sources under two perspectives. On one side, there are studies of practical tools for schema mapping generation; these focus on algor...
COCOON
2010
Springer
14 years 1 months ago
2010
Springer
We study algorithms for clustering data that were recently proposed by Balcan, Blum and Gupta in SODA’09 [4] and that have already given rise to two follow-up papers. The input f...
TNN
2010
13 years 3 months ago
2010
We consider the problem of semi-supervised feature selection, where we are given a small amount of labeled examples and a large amount of unlabeled examples. Since a small number ...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
ESOP
2011
Springer
13 years 14 days ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...