532 search results - page 37 / 107 » Estimation of Time-Varying Parameters in Statistical Models:... |
WSC
1997
13 years 9 months ago
1997
The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...
ACL
2006
13 years 9 months ago
2006
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
SIGMOD
2006
ACM
14 years 7 months ago
2006
ACM
Text is ubiquitous and, not surprisingly, many important applications rely on textual data for a variety of tasks. As a notable example, information extraction applications derive...
LION
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
SAIG
2000
Springer
13 years 11 months ago
2000
Springer
Extracting information from data, often also called data analysis, is an important scienti c task. Statistical approaches, which use methods from probability theory and numerical a...