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UM
2009
Springer
15 years 9 months ago
Predicting Customer Models Using Behavior-Based Features in Shops
Abstract. Recent sensor technologies have enabled the capture of users’ behavior data. Given the large amount of data currently available from sensor-equipped environments, it is...
Junichiro Mori, Yutaka Matsuo, Hitoshi Koshiba, Ke...
95
Voted
BIBM
2008
IEEE
112views Bioinformatics» more  BIBM 2008»
15 years 9 months ago
Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information
Mapping B-cell epitopes plays an important role in vaccine design, immunodiagnostic tests, and antibody production. Because the experimental determination of B-cell epitopes is ti...
Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar
101
Voted
CEC
2008
IEEE
15 years 9 months ago
Evolving GeneChip correlation predictors on parallel graphics hardware
—A GPU is used to datamine five million correlations between probes within Affymetrix HG-U133A probesets across 6685 human tissue samples from NCBI’s GEO database. These conco...
William B. Langdon
135
Voted
DATE
2008
IEEE
136views Hardware» more  DATE 2008»
15 years 9 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
107
Voted
HPCA
2008
IEEE
15 years 9 months ago
Prediction of CPU idle-busy activity pattern
Real-world workloads rarely saturate multi-core processor. CPU C-states can be used to reduce power consumption during processor idle time. The key unsolved problem is: when and h...
Qian Diao, Justin J. Song
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