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TSP
2010
13 years 2 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
BMCBI
2011
13 years 2 months ago
Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble
Background: Automated, image based high-content screening is a fundamental tool for discovery in biological science. Modern robotic fluorescence microscopes are able to capture th...
Bailing Zhang, Tuan D. Pham
JSS
2011
150views more  JSS 2011»
13 years 2 months ago
A novel general framework for automatic and cost-effective handling of recoverable temporal violations in scientific workflow sy
Due to the complex nature of scientific workflow environments, temporal violations often take place and may severely reduce the timeliness of the execution’s results. To handle ...
Xiao Liu, Zhiwei Ni, Zhangjun Wu, Dong Yuan, Jinju...
ICDE
2011
IEEE
237views Database» more  ICDE 2011»
12 years 11 months ago
Creating probabilistic databases from imprecise time-series data
— Although efficient processing of probabilistic databases is a well-established field, a wide range of applications are still unable to benefit from these techniques due to t...
Saket Sathe, Hoyoung Jeung, Karl Aberer
PERCOM
2011
ACM
12 years 11 months ago
Mobile node rostering in intermittently connected passive RFID networks
— This paper focuses on the problem of rostering in intermittently connected passive RFID networks. It aims to report a list of tagged mobile nodes that appear in given intereste...
Zhipeng Yang, Hongyi Wu
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