Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach.
- Published in:
- Journal of Machine Learning Research, 2005, v. 6, n. 11, p. 1855
- By:
- Publication type:
- Article
Works matching IS 15324435 AND DT 2005 AND VI 6 AND IP 11
Results: 4
1
2
Combining Information Extraction Systems Using Voting and Stacked Generalization.
- Published in:
- Journal of Machine Learning Research, 2005, v. 6, n. 11, p. 1
- By:
- Publication type:
- Article
3
Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models.
- Published in:
- Journal of Machine Learning Research, 2005, v. 6, n. 11, p. 1783
- By:
- Publication type:
- Article
4
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data.
- Published in:
- Journal of Machine Learning Research, 2005, v. 6, n. 11, p. 1817
- By:
- Publication type:
- Article