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» SMDS Measurements and Modeling to Predict Performance
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WWW
2007
ACM
15 years 10 months ago
Information flow modeling based on diffusion rate for prediction and ranking
Information flows in a network where individuals influence each other. The diffusion rate captures how efficiently the information can diffuse among the users in the network. We p...
Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng
SIGIR
2005
ACM
15 years 3 months ago
The maximum entropy method for analyzing retrieval measures
We present a model, based on the maximum entropy method, for analyzing various measures of retrieval performance such as average precision, R-precision, and precision-at-cutoffs....
Javed A. Aslam, Emine Yilmaz, Virgiliu Pavlu
DCOSS
2005
Springer
15 years 3 months ago
Analysis of Target Detection Performance for Wireless Sensor Networks
In surveillance and tracking applications, wireless sensor nodes collectively monitor the existence of intruding targets. In this paper, we derive closed form results for predicti...
Qing Cao, Ting Yan, John A. Stankovic, Tarek F. Ab...
PDPTA
2004
14 years 11 months ago
Static Performance Evaluation for Memory-Bound Computing: The MBRAM Model
We present the MBRAM model for static evaluation of the performance of memory-bound programs. The MBRAM model predicts the actual running time of a memory-bound program directly fr...
Gene Cooperman, Xiaoqin Ma, Viet Ha Nguyen
WWW
2009
ACM
15 years 10 months ago
Predicting click through rate for job listings
Click Through Rate (CTR) is an important metric for ad systems, job portals, recommendation systems. CTR impacts publisher's revenue, advertiser's bid amounts in "p...
Manish S. Gupta