463 search results - page 1 / 93 » Accuracy Estimation With Clustered Dataset |
AUSDM
2006
Springer
13 years 10 months ago
2006
Springer
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
MCS
2010
Springer
14 years 1 months ago
2010
Springer
One of the challenges in unsupervised machine learning is finding the number of clusters in a dataset. Clustering Validity Indices (CVI) are popular tools used to address this pro...
BMCBI
2010
13 years 7 months ago
2010
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
BMVC
2010
13 years 5 months ago
2010
We investigate the task of 2D articulated human pose estimation in unconstrained still images. This is extremely challenging because of variation in pose, anatomy, clothing, and i...
KDD
2002
ACM
14 years 7 months ago
2002
ACM
The goal of clustering is to identify distinct groups in a dataset. Compared to non-parametric clustering methods like complete linkage, hierarchical model-based clustering has th...