372 search results - page 41 / 75 » Learning to Rank Using an Ensemble of Lambda-Gradient Models |
140
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CIKM
2009
Springer
15 years 8 months ago
2009
Springer
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
145
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
109
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RTCSA
2007
IEEE
15 years 9 months ago
2007
IEEE
Activity recognition is a hot topic in context-aware computing. In activity recognition, machine learning techniques have been widely applied to learn the activity models from lab...
144
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CORR
2006
Springer
15 years 3 months ago
2006
Springer
This paper evaluates the robustness of learning from implicit feedback in web search. In particular, we create a model of user behavior by drawing upon user studies in laboratory ...
138
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ICDM
2010
IEEE
15 years 1 months ago
2010
IEEE
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...