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179
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AMAI
2004
Springer
16 years 3 days ago
2004
Springer
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
222
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ECCV
2010
Springer
16 years 1 days ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
162
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PLDI
2003
ACM
15 years 12 months ago
2003
ACM
Profiling can accurately analyze program behavior for select data inputs. We show that profiling can also predict program locality for inputs other than profiled ones. Here loc...
180
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SMA
2003
ACM
15 years 12 months ago
2003
ACM
3D scanners developed over the past several decades have facilitated the reconstruction of complicated engineering parts. Typically the boundary representation of a part is recons...
157
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AUSAI
2003
Springer
15 years 12 months ago
2003
Springer
An important task in machine learning is determining which learning algorithm works best for a given data set. When the amount of data is small the same data needs to be used repea...