1512 search results - page 207 / 303 » Towards the Personalization of Algorithms Evaluation in Data... |
212
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CIKM
2010
Springer
15 years 5 months ago
2010
Springer
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
216
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KDD
2003
ACM
16 years 7 months ago
2003
ACM
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
174
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KDD
2005
ACM
16 years 7 months ago
2005
ACM
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
146
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PVLDB
2008
15 years 6 months ago
2008
Duplicate detection is the process of identifying multiple representations of a same real-world object in a data source. Duplicate detection is a problem of critical importance in...
198
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INFOCOM
2000
IEEE
15 years 11 months ago
2000
IEEE
—We address the issue of power-controlled shared channel access in future wireless networks supporting packetized data traffic, beyond the voice-oriented continuous traffic prima...