Leave-one-out cross-validation is risk consistent for lasso.
- Published in:
- Machine Learning, 2014, v. 97, n. 1-2, p. 65, doi. 10.1007/s10994-014-5438-z
- By:
- Publication type:
- Article
Works matching IS 08856125 AND DT 2014 AND VI 97 AND IP 1-2
Results: 10
1
2
A constrained matrix-variate Gaussian process for transposable data.
- Published in:
- Machine Learning, 2014, v. 97, n. 1-2, p. 103, doi. 10.1007/s10994-014-5444-1
- By:
- Publication type:
- Article
3
Regression conformal prediction with random forests.
- Published in:
- Machine Learning, 2014, v. 97, n. 1-2, p. 155, doi. 10.1007/s10994-014-5453-0
- By:
- Publication type:
- Article
4
A theoretical and empirical analysis of support vector machine methods for multiple-instance classification.
- Published in:
- Machine Learning, 2014, v. 97, n. 1-2, p. 79, doi. 10.1007/s10994-013-5429-5
- By:
- Publication type:
- Article
5
The bane of skew.
- Published in:
- Machine Learning, 2014, v. 97, n. 1-2, p. 5, doi. 10.1007/s10994-013-5432-x
- By:
- Publication type:
- Article
6
SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding.
- Published in:
- Machine Learning, 2014, v. 97, n. 1-2, p. 205, doi. 10.1007/s10994-014-5463-y
- By:
- Publication type:
- Article
7
Guest Editors' introduction: special issue of the ECML/PKDD 2014 journal track.
- Published in:
- 2014
- By:
- Publication type:
- Editorial
8
Collaborative filtering with information-rich and information-sparse entities.
- Published in:
- Machine Learning, 2014, v. 97, n. 1-2, p. 177, doi. 10.1007/s10994-014-5454-z
- By:
- Publication type:
- Article
9
On combining machine learning with decision making.
- Published in:
- Machine Learning, 2014, v. 97, n. 1-2, p. 33, doi. 10.1007/s10994-014-5459-7
- By:
- Publication type:
- Article
10
Learning a priori constrained weighted majority votes.
- Published in:
- Machine Learning, 2014, v. 97, n. 1-2, p. 129, doi. 10.1007/s10994-014-5462-z
- By:
- Publication type:
- Article