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Lecture Notes
I have been designing and building applications, including the databases used by those applications, for several decades now. I have seen similar problems approached by different d...
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KDD
2008
ACM
16 years 7 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
227
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BMCBI
2010
15 years 6 months ago
2010
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
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BMCBI
2007
15 years 6 months ago
2007
Background: Answers to several fundamental questions in statistical genetics would ideally require knowledge of the ancestral pedigree and of the gene flow therein. A few examples...
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JMLR
2008
15 years 6 months ago
2008
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...