411 search results - page 35 / 83 » Rank Estimation in Missing Data Matrix Problems |
KDD
2012
ACM
11 years 11 months ago
2012
ACM
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
SIGIR
2008
ACM
13 years 9 months ago
2008
ACM
Some applications have to present their results in the form of ranked lists. This is the case of many information retrieval applications, in which documents must be sorted accordi...
VLDB
1997
ACM
14 years 1 months ago
1997
ACM
The cpquantile of an ordered sequenceof data values is the element with rank ‘pn, where n is the total number of values. Accurate estimates of quantiles are required for the sol...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
EUROPAR
2009
Springer
14 years 1 months ago
2009
Springer
The paper presents a new data partitioning algorithm for parallel computing on heterogeneous processors. Like traditional functional partitioning algorithms, the algorithm assumes ...