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» Evaluating algorithms that learn from data streams
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BMCBI
2005
201views more  BMCBI 2005»
15 years 4 months ago
Principal component analysis for predicting transcription-factor binding motifs from array-derived data
Background: The responses to interleukin 1 (IL-1) in human chondrocytes constitute a complex regulatory mechanism, where multiple transcription factors interact combinatorially to...
Yunlong Liu, Matthew P. Vincenti, Hiroki Yokota
CIKM
2006
Springer
15 years 8 months ago
Incorporating query difference for learning retrieval functions in world wide web search
We discuss information retrieval methods that aim at serving a diverse stream of user queries such as those submitted to commercial search engines. We propose methods that emphasi...
Hongyuan Zha, Zhaohui Zheng, Haoying Fu, Gordon Su...
CSDA
2007
115views more  CSDA 2007»
15 years 4 months ago
Algorithms for compact letter displays: Comparison and evaluation
Multiple pairwise comparisons are one of the most frequent tasks in applied statistics. In this context, letter displays may be used for a compact presentation of results of multi...
Jens Gramm, Jiong Guo, Falk Hüffner, Rolf Nie...
FAST
2010
15 years 6 months ago
Bimodal Content Defined Chunking for Backup Streams
Data deduplication has become a popular technology for reducing the amount of storage space necessary for backup and archival data. Content defined chunking (CDC) techniques are w...
Erik Kruus, Cristian Ungureanu, Cezary Dubnicki
SIGIR
2010
ACM
15 years 8 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...