27 search results - page 2 / 6 » Empirical and theoretical support for lenient learning |
71
Voted
DIS
2008
Springer
14 years 10 months ago
2008
Springer
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting: (a) build a separate single-target model for each ta...
AAAI
2008
14 years 12 months ago
2008
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
70
Voted
HICSS
1999
IEEE
15 years 1 months ago
1999
IEEE
Empirical work with "Belvedere," a software environment for the construction of diagrammatic representations of evidential relations, is summarized, leading to the hypot...
ECML
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. While direct, model-free reinforcement learning often performs better than model-based approaches in practice, only the latter have yet supported theoretical guarantees f...
84
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We propose a new penalty function which, when used as regularization for empirical risk minimization procedures, leads to sparse estimators. The support of the sparse vector is ty...