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SIGIR
2010
ACM
15 years 10 months ago
Learning more powerful test statistics for click-based retrieval evaluation
Interleaving experiments are an attractive methodology for evaluating retrieval functions through implicit feedback. Designed as a blind and unbiased test for eliciting a preferen...
Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, T...
EUROCRYPT
2006
Springer
15 years 10 months ago
Learning a Parallelepiped: Cryptanalysis of GGH and NTRU Signatures
Abstract. Lattice-based signature schemes following the GoldreichGoldwasser-Halevi (GGH) design have the unusual property that each signature leaks information on the signer's...
Phong Q. Nguyen, Oded Regev
WWW
2010
ACM
15 years 10 months ago
Diversifying landmark image search results by learning interested views from community photos
In this paper, we demonstrate a novel landmark photo search and browsing system, Agate, which ranks landmark image search results considering their relevance, diversity and qualit...
Yuheng Ren, Mo Yu, Xin-Jing Wang, Lei Zhang, Wei-Y...
DMIN
2007
186views Data Mining» more  DMIN 2007»
15 years 8 months ago
Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?
- The classifier built from a data set with a highly skewed class distribution generally predicts the more frequently occurring classes much more often than the infrequently occurr...
Gary M. Weiss, Kate McCarthy, Bibi Zabar
LREC
2010
187views Education» more  LREC 2010»
15 years 8 months ago
Ontology-Based Categorization of Web Services with Machine Learning
We present the problem of categorizing web services according to a shallow ontology for presentation on a specialist portal, using their WSDL and associated textual documents foun...
Adam Funk, Kalina Bontcheva