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Found 7 papers, 1 papers with code
Sparse Bayesian approach for metric learning in latent space
Also, the present work is extended for learning in the feature space induced by an RKHS kernel.
RELF: Robust Regression Extended with Ensemble Loss Function
Ensemble techniques are powerful approaches that combine several weak learners to build a stronger one.
Sentimental Content Analysis and Knowledge Extraction from News Articles
These raw data could be an important resource for knowledge extraction.
Fuzzy Constraints Linear Discriminant Analysis
In this paper we introduce a fuzzy constraint linear discriminant analysis (FC-LDA).
Active Robust Learning
It is proved that noisy instances in the data if any, are the ones with maximum instance complexity.
Outlier absorbing based on a Bayesian approach
The presence of outliers is prevalent in machine learning applications and may produce misleading results.
Comment on "robustness and regularization of support vector machines" by H. Xu, et al., (Journal of Machine Learning Research, vol. 10, pp. 1485-1510, 2009, arXiv:0803.3490)
This paper comments on the published work dealing with robustness and regularization of support vector machines (Journal of Machine Learning Research, vol.
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