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195
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CISST
2004
15 years 8 months ago
2004
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
189
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DAGSTUHL
2004
15 years 8 months ago
2004
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
134
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ECIR
2006
Springer
15 years 8 months ago
2006
Springer
Although it has been shown that in test collection based studies, stemming improves retrieval effectiveness in an information retrieval system, morphological variations of queries ...
172
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ECIR
2006
Springer
15 years 8 months ago
2006
Springer
The aim of our research is to produce and assess short summaries to aid users' relevance judgements, for example for a search engine result page. In this paper we present our ...
180
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DAIS
2001
15 years 8 months ago
2001
Besides the conclusion of agreements about quality of service (QoS), one of the major prerequisites for a global service market are means to monitor the fulfillment of those agreem...