5463 search results - page 245 / 1093 » Evaluating algorithms that learn from data streams |
176
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IMC
2007
ACM
15 years 8 months ago
2007
ACM
The ability to discover network organization, whether in the form of explicit topology reconstruction or as embeddings that approximate topological distance, is a valuable tool. T...
195
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CIKM
2009
Springer
16 years 1 months ago
2009
Springer
RDF is a data model for representing labeled directed graphs, and it is used as an important building block of semantic web. Due to its flexibility and applicability, RDF has bee...
192
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KDD
2008
ACM
16 years 6 months ago
2008
ACM
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
161
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VTC
2007
IEEE
16 years 22 days ago
2007
IEEE
— In this paper we analyze the downlink OFDMA system-level performances of a 2x2 dual-stream MIMO multiuser transmission scheme under the assumptions of partial and noisy channel...
179
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Neighbor search is a fundamental task in machine learning, especially in classification and retrieval. Efficient nearest neighbor search methods have been widely studied, with the...