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ECML
2001
Springer
15 years 2 months ago
2001
Springer
Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
104
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BIBM
2010
IEEE
14 years 8 months ago
2010
IEEE
We have recently found that the computation time of homology-based subcellular localization can be substantially reduced by aligning profiles up to the cleavage site positions of s...
103
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AUSAI
2008
Springer
15 years 1 days ago
2008
Springer
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
109
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DAGM
2008
Springer
14 years 11 months ago
2008
Springer
Most current methods for multi-class object classification and localization work as independent 1-vs-rest classifiers. They decide whether and where an object is visible in an imag...
107
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ICMLA
2009
14 years 7 months ago
2009
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...