1915 search results - page 33 / 383 » Computing LTS Regression for Large Data Sets |
97
Voted
KDD
2000
ACM
15 years 1 months ago
2000
ACM
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
78
Voted
VISSYM
2004
14 years 11 months ago
2004
Histograms are a very useful tool for data analysis, because they show the distribution of values over a data dimension. Many data sets in engineering (like computational fluid dy...
91
Voted
NIPS
2001
14 years 11 months ago
2001
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
85
Voted
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
COCOA
2008
Springer
14 years 11 months ago
2008
Springer
Abstract: Recently, there have been significant theoretical progresses towards fixed-parameter algorithms for the DOMINATING SET problem of planar graphs. It is known that the prob...