146 search results - page 11 / 30 » A Set Correlation Model for Partitional Clustering |
127
Voted
NN
2006
Springer
15 years 2 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...
103
Voted
AUSDM
2006
Springer
15 years 6 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...
181
Voted
JMLR
2012
13 years 5 months ago
2012
Given a point set S and an unknown metric d on S, we study the problem of efficiently partitioning S into k clusters while querying few distances between the points. In our model...
126
Voted
PR
2008
15 years 2 months ago
2008
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
166
Voted
IJCAI
2001
15 years 4 months ago
2001
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...