34170 search results - page 6258 / 6834 » Optimization |
233
Voted
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
177
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KDD
2006
ACM
16 years 7 months ago
2006
ACM
Observed in many applications, there is a potential need of extracting a small set of frequent patterns having not only high significance but also low redundancy. The significance...
227
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KDD
2005
ACM
16 years 7 months ago
2005
ACM
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
216
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KDD
2004
ACM
16 years 7 months ago
2004
ACM
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
194
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KDD
2004
ACM
16 years 7 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...