Scalable and efficient multi-label classification for evolving data streams.
- Published in:
- Machine Learning, 2012, v. 88, n. 1-2, p. 243, doi. 10.1007/s10994-012-5279-6
- By:
- Publication type:
- Article
Works matching IS 08856125 AND DT 2012 AND VI 88 AND IP 1-2
Results: 9
1
2
Bayesian multi-instance multi-label learning using Gaussian process prior.
- Published in:
- Machine Learning, 2012, v. 88, n. 1-2, p. 273, doi. 10.1007/s10994-012-5283-x
- By:
- Publication type:
- Article
3
Multilabel classification with meta-level features in a learning-to-rank framework.
- Published in:
- Machine Learning, 2012, v. 88, n. 1-2, p. 47, doi. 10.1007/s10994-011-5270-7
- By:
- Publication type:
- Article
4
Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference.
- Published in:
- Machine Learning, 2012, v. 88, n. 1-2, p. 209, doi. 10.1007/s10994-011-5271-6
- By:
- Publication type:
- Article
5
Statistical topic models for multi-label document classification.
- Published in:
- Machine Learning, 2012, v. 88, n. 1-2, p. 157, doi. 10.1007/s10994-011-5272-5
- By:
- Publication type:
- Article
6
Compressed labeling on distilled labelsets for multi-label learning.
- Published in:
- Machine Learning, 2012, v. 88, n. 1-2, p. 69, doi. 10.1007/s10994-011-5276-1
- By:
- Publication type:
- Article
7
Introduction to the special issue on learning from multi-label data.
- Published in:
- 2012
- By:
- Publication type:
- Editorial
8
Efficient max-margin multi-label classification with applications to zero-shot learning.
- Published in:
- Machine Learning, 2012, v. 88, n. 1-2, p. 127, doi. 10.1007/s10994-012-5291-x
- By:
- Publication type:
- Article
9
On label dependence and loss minimization in multi-label classification.
- Published in:
- Machine Learning, 2012, v. 88, n. 1-2, p. 5, doi. 10.1007/s10994-012-5285-8
- By:
- Publication type:
- Article