1915 search results - page 218 / 383 » Computing LTS Regression for Large Data Sets |
141
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EUROPAR
2007
Springer
15 years 10 months ago
2007
Springer
An optimizing compiler has a hard time to generate a code which will perform at top speed for an arbitrary data set size. In general, the low level optimization process must take i...
273
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ICDE
2009
IEEE
16 years 6 months ago
2009
IEEE
Large databases with uncertain information are becoming more common in many applications including data integration, location tracking, and Web search. In these applications, ranki...
162
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JMLR
2002
15 years 3 months ago
2002
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
123
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CVPR
2010
IEEE
16 years 21 days ago
2010
IEEE
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
139
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SIGIR
2006
ACM
15 years 10 months ago
2006
ACM
Vector Space Model (VSM) has been at the core of information retrieval for the past decades. VSM considers the documents as vectors in high dimensional space. In such a vector spa...