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ICML
2009
IEEE
16 years 7 months ago
BoltzRank: learning to maximize expected ranking gain
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
Maksims Volkovs, Richard S. Zemel
DAC
2006
ACM
16 years 23 days ago
A fast on-chip decoupling capacitance budgeting algorithm using macromodeling and linear programming
We propose a novel and efficient charge-based decoupling capacitance budgeting algorithm. Our method uses the macromodeling technique and effective radius of decoupling capacitan...
Min Zhao, Rajendran Panda, Savithri Sundareswaran,...
174
Voted
DATE
2005
IEEE
135views Hardware» more  DATE 2005»
16 years 12 days ago
Compositional Memory Systems for Multimedia Communicating Tasks
Conventional cache models are not suited for real-time parallel processing because tasks may flush each other’s data out of the cache in an unpredictable manner. In this way th...
Anca Mariana Molnos, Marc J. M. Heijligers, Sorin ...
IWQOS
2004
Springer
16 years 4 days ago
Provisioning servers in the application tier for e-commerce systems
Abstract— Server providers that support e-commerce applications as a service to multiple e–commerce websites traditionally use a tiered server architecture. This architecture i...
Daniel A. Villela, Prashant Pradhan, Dan Rubenstei...
150
Voted
PPSN
2004
Springer
16 years 4 days ago
Searching Transcriptional Modules Using Evolutionary Algorithms
The mechanism of gene regulation has been studied intensely for decades. It is important to identify synergistic transcriptional motifs. Its search space is so large that an effici...
Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang