4403 search results - page 515 / 881 » Galois Theory of Algorithms |
203
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KDD
2008
ACM
16 years 8 months ago
2008
ACM
We propose a family of novel cost-sensitive boosting methods for multi-class classification by applying the theory of gradient boosting to p-norm based cost functionals. We establ...
200
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KDD
2006
ACM
16 years 8 months ago
2006
ACM
Measuring distance or some other form of proximity between objects is a standard data mining tool. Connection subgraphs were recently proposed as a way to demonstrate proximity be...
188
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KDD
2005
ACM
16 years 8 months ago
2005
ACM
We present an algorithm for mining tree-shaped patterns in a large graph. Novel about our class of patterns is that they can contain constants, and can contain existential nodes w...
205
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KDD
2005
ACM
16 years 8 months ago
2005
ACM
Many classification tasks, such as spam filtering, intrusion detection, and terrorism detection, are complicated by an adversary who wishes to avoid detection. Previous work on ad...
190
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KDD
2004
ACM
16 years 8 months ago
2004
ACM
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...