1131 search results - page 52 / 227 » Generalization Improvement in Multi-Objective Learning |
ML
2002
ACM
13 years 9 months ago
2002
ACM
The problem of automatically tuning multiple parameters for pattern recognition Support Vector Machines (SVMs) is considered. This is done by minimizing some estimates of the gener...
IJCAI
2007
13 years 11 months ago
2007
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
ATAL
2008
Springer
13 years 12 months ago
2008
Springer
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
RECOMB
2007
Springer
14 years 10 months ago
2007
Springer
Abstract. Side-chain prediction is an important subproblem of the general protein folding problem. Despite much progress in side-chain prediction, performance is far from satisfact...