Novel high intrinsic dimensionality estimators.
- Published in:
- Machine Learning, 2012, v. 89, n. 1-2, p. 37, doi. 10.1007/s10994-012-5294-7
- By:
- Publication type:
- Article
Works matching IS 08856125 AND DT 2012 AND VI 89 AND IP 1-2
Results: 8
1
2
Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis.
- Published in:
- Machine Learning, 2012, v. 89, n. 1-2, p. 67, doi. 10.1007/s10994-012-5300-0
- By:
- Publication type:
- Article
3
Good edit similarity learning by loss minimization.
- Published in:
- Machine Learning, 2012, v. 89, n. 1-2, p. 5, doi. 10.1007/s10994-012-5293-8
- By:
- Publication type:
- Article
4
Focused multi-task learning in a Gaussian process framework.
- Published in:
- Machine Learning, 2012, v. 89, n. 1-2, p. 157, doi. 10.1007/s10994-012-5302-y
- By:
- Publication type:
- Article
5
Guest editors' introduction: special issue of selected papers from ECML PKDD 2011.
- Published in:
- 2012
- By:
- Publication type:
- Editorial
6
Preference-based reinforcement learning: a formal framework and a policy iteration algorithm.
- Published in:
- Machine Learning, 2012, v. 89, n. 1-2, p. 123, doi. 10.1007/s10994-012-5313-8
- By:
- Publication type:
- Article
7
Learning monotone nonlinear models using the Choquet integral.
- Published in:
- Machine Learning, 2012, v. 89, n. 1-2, p. 183, doi. 10.1007/s10994-012-5318-3
- By:
- Publication type:
- Article
8
Sequential approaches for learning datum-wise sparse representations.
- Published in:
- Machine Learning, 2012, v. 89, n. 1-2, p. 87, doi. 10.1007/s10994-012-5306-7
- By:
- Publication type:
- Article