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167
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DATAMINE
2010
14 years 11 months ago
2010
: In dyadic prediction, the input consists of a pair of items (a dyad), and the goal is to predict the value of an observation related to the dyad. Special cases of dyadic predicti...
122
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CDC
2010
IEEE
14 years 8 months ago
2010
IEEE
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
117
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IPM
2006
15 years 1 months ago
2006
This paper presents a probabilistic information retrieval framework in which the retrieval problem is formally treated as a statistical decision problem. In this framework, querie...
GLOBECOM
2007
IEEE
15 years 5 months ago
2007
IEEE
The capacity assignment (CA) problem is one of the most essential yet important topics in packet communication networks. However, most reported CA models were established under the...
139
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AAAI
2012
13 years 4 months ago
2012
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...