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» On the Bit Extraction Problem
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CASES
2009
ACM
16 years 1 months ago
Optimal loop parallelization for maximizing iteration-level parallelism
This paper solves the open problem of extracting the maximal number of iterations from a loop that can be executed in parallel on chip multiprocessors. Our algorithm solves it opt...
Duo Liu, Zili Shao, Meng Wang, Minyi Guo, Jingling...
SIGIR
2009
ACM
16 years 1 months ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...
HICSS
2008
IEEE
107views Biometrics» more  HICSS 2008»
16 years 1 months ago
Research on Constraints in Anti-Money Laundering (AML) Business Process in China Based on Theory of Constraints
Anti-money laundering is a pressing issue in today’s economy. With the newly launched Chinese anti-money laundering regulation, this issue has drawn more and more attention from...
Xuan Liu, Pengzhu Zhang
ICDCS
2008
IEEE
16 years 1 months ago
Availability and Fairness Support for Storage QoS Guarantee
Multi-dimensional storage virtualization (MDSV) allows multiple virtual disks, each with a distinct combination of capacity, latency and bandwidth requirements, to be multiplexed ...
Gang Peng, Tzi-cker Chiueh
ICDE
2008
IEEE
189views Database» more  ICDE 2008»
16 years 1 months ago
Adapting ranking functions to user preference
— Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, whic...
Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, ...