Feature selection for high-dimensional genomic microarray data
We report on the successful application of feature selection methods to a classification problem in molecular biology involving only 72 data points in a 7130 dimensional space. ...
Publications
4 shownActive Learning with Statistical Models
For many types of machine learning algorithms, one can compute the statistically `optimal' way to select training data. In this paper, we review how optimal data selection techn...
On the inference of ancestries in admixed populations
Inference of ancestral information in recently admixed populations, in which every individual is composed of a mixed ancestry (e.g., African Americans in the United States), is ...
A Direct Formulation for Sparse PCA Using Semidefinite Programming
Given a covariance matrix, we consider the problem of maximizing the variance explained by a particular linear combination of the input variables while constraining the number o...
Frequent Co-Authors
Researcher Info
- h-index
- 4
- Publications
- 4
- Citations
- 2,587
- Institution
- University of California, Berkeley
External Links
Identifiers
- ORCID
- 0000-0001-8935-817X
Impact Metrics
h-index
4
h-index: Number of publications with at least h citations each.