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» Evaluation of Query Performance Prediction Methods by Range
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CIKM
2006
Springer
15 years 7 months ago
Evaluation by comparing result sets in context
Familiar evaluation methodologies for information retrieval (IR) are not well suited to the task of comparing systems in many real settings. These systems and evaluation methods m...
Paul Thomas, David Hawking
ICDM
2006
IEEE
143views Data Mining» more  ICDM 2006»
15 years 10 months ago
Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval
In this paper, we investigate the use of data mining, in particular the text classification and co-training techniques, to identify more relevant passages based on a small set of...
Xiangji Huang, Yan Rui Huang, Miao Wen, Aijun An, ...
SIGMOD
2011
ACM
150views Database» more  SIGMOD 2011»
14 years 7 months ago
WHAM: a high-throughput sequence alignment method
Over the last decade the cost of producing genomic sequences has dropped dramatically due to the current so called “next-gen” sequencing methods. However, these next-gen seque...
Yinan Li, Allison Terrell, Jignesh M. Patel
ML
2007
ACM
156views Machine Learning» more  ML 2007»
15 years 3 months ago
Active learning for logistic regression: an evaluation
Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...
Andrew I. Schein, Lyle H. Ungar
SAC
2006
ACM
15 years 10 months ago
Relevance feedback methods for logo and trademark image retrieval on the web
Relevance feedback is the state-of-the-art approach for adjusting query results to the needs of the users. This work extends the existing framework of image retrieval with relevan...
Euripides G. M. Petrakis, Klaydios Kontis, Epimeni...