532 search results - page 37 / 107 » Estimation of Time-Varying Parameters in Statistical Models:... |
162
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WSC
1997
15 years 7 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,...
165
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ACL
2006
15 years 7 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...
264
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SIGMOD
2006
ACM
16 years 5 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...
152
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LION
2009
Springer
16 years 9 days 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...
166
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SAIG
2000
Springer
15 years 9 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...