396 search results - page 58 / 80 » Lossy Reduction for Very High Dimensional Data |
HAIS
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Protein membership prediction is a fundamental task to retrieve information for unknown or unidentified sequences. When support vector machines (SVMs) are associated with...
117
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BMCBI
2007
14 years 11 months ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
EDBT
2009
ACM
15 years 6 months ago
2009
ACM
In this work we concentrate on categorization of relational attributes based on their data type. Assuming that attribute type/characteristics are unknown or unidentifiable, we an...
97
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ECAI
2004
Springer
15 years 5 months ago
2004
Springer
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
120
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BMCBI
2006
14 years 11 months ago
2006
Background: Evaluating the importance of the different sources of variations is essential in microarray data experiments. Complex experimental designs generally include various fa...