Sparse distance metric learning
<p>A good distance metric can improve the accuracy of a nearest neighbour classifier. Xing et al. (2002) proposed distance metric learning to find a linear transformation of the data so that observations of different classes are better separated. For high-dimensional problems where many un-...
Main Author: | Choy, T |
---|---|
Other Authors: | Meinshausen, N |
Format: | Thesis |
Language: | English |
Published: |
2014
|
Subjects: |
Similar Items
-
Some aspects of complex statistical dependencies
by: Kartsonaki, C
Published: (2014) -
A coalescent dual process in a Moran model with genic selection, and the lambda coalescent limit
by: Etheridge, A, et al.
Published: (2010) -
A Bayesian cost-benefit approach to sample size determination and evaluation in clinical trials
by: Kikuchi, T
Published: (2011) -
How threshold behaviour affects the use of subgraphs for network comparison
by: Rito, T, et al.
Published: (2010) -
An approximate sampling formula under genetic hitchhiking
by: Etheridge, A, et al.
Published: (2006)