160 search results - page 24 / 32 » Model Selection for Small Sample Regression |
131
Voted
PAA
2002
15 years 2 months ago
2002
: The idea of performing model combination, instead of model selection, has a long theoretical background in statistics. However, making use of theoretical results is ordinarily su...
127
Voted
ICPR
2010
IEEE
15 years 14 days ago
2010
IEEE
Abstract--In this paper, we (1) provide a complete framework for classification using Variational Mixture of Experts (VME); (2) derive the variational lower bound; and (3) apply th...
118
Voted
PROMISE
2010
14 years 9 months ago
2010
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
104
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TNN
2010
14 years 9 months ago
2010
Abstract--In this paper we investigate the sparsity and recognition capabilities of two approximate Bayesian classification algorithms, the multi-class multi-kernel Relevance Vecto...
95
Voted
ICPR
2002
IEEE
15 years 7 months ago
2002
IEEE
This paper describes a novel application of Statistical Learning Theory (SLT) for motion prediction. SLT provides analytical VC-generalization bounds for model selection; these bo...