5463 search results - page 309 / 1093 » Evaluating algorithms that learn from data streams |
184
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KDD
2005
ACM
16 years 7 months ago
2005
ACM
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...
194
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CIKM
2008
Springer
15 years 8 months ago
2008
Springer
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
191
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KDD
2005
ACM
16 years 1 days ago
2005
ACM
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
197
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NAACL
2010
15 years 4 months ago
2010
Most learning algorithms for undirected graphical models require complete inference over at least one instance before parameter updates can be made. SampleRank is a rankbased lear...
163
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ICDM
2007
IEEE
16 years 26 days ago
2007
IEEE
Discovering communities from documents involved in social discourse is an important topic in social network analysis, enabling greater understanding of the relationships among act...