1406 search results - page 107 / 282 » Learning Pseudo-independent Models: Analytical and Experimen... |
158
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PR
2010
15 years 4 months ago
2010
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
181
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ACL
2009
15 years 4 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
191
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BMCBI
2006
15 years 6 months ago
2006
Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...
168
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JAISE
2011
14 years 9 months ago
2011
Person tracking is an important topic in ambient living systems as well as in computer vision. In particular, detecting a person from a ceiling-mounted camera is a challenge since ...
165
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KDD
2004
ACM
16 years 6 months ago
2004
ACM
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...