1971 search results - page 132 / 395 » A clustering method that uses lossy aggregation of data |
NIPS
2004
13 years 10 months ago
2004
An important aspect of clustering algorithms is whether the partitions constructed on finite samples converge to a useful clustering of the whole data space as the sample size inc...
ICML
2004
IEEE
14 years 2 months ago
2004
IEEE
The paper is concerned with two-class active learning. While the common approach for collecting data in active learning is to select samples close to the classification boundary,...
NN
2006
Springer
13 years 9 months ago
2006
Springer
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
GIS
1998
ACM
13 years 8 months ago
1998
ACM
Geographical Information Systems (GIS) involve the manipulation of large spatial data sets, and the performance of these systems is often determined by how these data sets are orga...
BMCBI
2010
13 years 9 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...