160 search results - page 2 / 32 » Model Selection for Small Sample Regression |
CSL
2010
Springer
13 years 5 months ago
2010
Springer
Meeting summarization provides a concise and informative summary for the lengthy meetings and is an effective tool for efficient information access. In this paper, we focus on ext...
CIKM
2010
Springer
13 years 2 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
SDM
2008
SIAM
13 years 7 months ago
2008
SIAM
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
FLAIRS
2004
13 years 7 months ago
2004
In this work we present a novel approach to ensemble learning for regression models, by combining the ensemble generation technique of random subspace method with the ensemble int...