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» Asim: A Performance Model Framework
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VLDB
2006
ACM
124views Database» more  VLDB 2006»
16 years 7 months ago
Dynamic buffer management with extensible replacement policies
The objective of extensible DBMSs is to ease the construction of specialized DBMSs for nontraditional applications. Although much work has been done in providing various levels of ...
Chong Leng Goh, Yanfeng Shu, Zhiyong Huang, Beng C...
SIGIR
2012
ACM
13 years 9 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
FLAIRS
2000
15 years 8 months ago
Fundamental Properties of the Core Matching Functions for Information Retrieval
Traditional benchmarking methods for information retrieval (IR) are based on experimental performance evaluation. Although the metrics precision and recall can measure the perform...
Dawei Song, Kam-Fai Wong, Peter Bruza, Chun Hung C...
ML
2008
ACM
222views Machine Learning» more  ML 2008»
15 years 6 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
CIKM
2010
Springer
15 years 4 months ago
Improving verbose queries using subset distribution
Dealing with verbose (or long) queries poses a new challenge for information retrieval. Selecting a subset of the original query (a "sub-query") has been shown to be an ...
Xiaobing Xue, Samuel Huston, W. Bruce Croft