247 search results - page 30 / 50 » Superset Learning Based on Generalized Loss Minimization |
102
Voted
DAGSTUHL
2004
15 years 1 months ago
2004
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
78
Voted
PR
2006
15 years 8 days ago
2006
Gaussian fields (GF) have recently received considerable attention for dimension reduction and semi-supervised classification. In this paper we show how the GF framework can be us...
96
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
100
Voted
ATAL
2009
Springer
15 years 7 months ago
2009
Springer
Creating coordinated multiagent policies in environments with uncertainty is a challenging problem, which can be greatly simplified if the coordination needs are known to be limi...
97
Voted
KDD
2004
ACM
16 years 23 days ago
2004
ACM
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...