1772 search results - page 135 / 355 » Classifying Problems into Complexity Classes |
172
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EMNLP
2010
15 years 4 months ago
2010
This paper studies the effects of training data on binary text classification and postulates that negative training data is not needed and may even be harmful for the task. Tradit...
172
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MFCS
2007
Springer
16 years 17 days ago
2007
Springer
A tournament is a graph in which each pair of distinct vertices is connected by exactly one directed edge. Tournaments are an important graph class, for which isomorphism testing ...
197
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
Image classification and annotation are important problems
in computer vision, but rarely considered together. Intuitively,
annotations provide evidence for the class label,
and...
138
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KES
1998
Springer
15 years 10 months ago
1998
Springer
Attractor systems are useful in neurodynamics,mainly in the modelingof associative memory. Thispaper presentsa complexity theory for continuous phase space dynamical systems with ...
169
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...