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» Learning from Multiple Sources of Inaccurate Data
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138
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RECOMB
2002
Springer
16 years 4 months ago
From promoter sequence to expression: a probabilistic framework
We present a probabilistic framework that models the process by which transcriptional binding explains the mRNA expression of different genes. Our joint probabilistic model unifie...
Eran Segal, Yoseph Barash, Itamar Simon, Nir Fried...
137
Voted
CVPR
2006
IEEE
16 years 5 months ago
Automatic Kinematic Chain Building from Feature Trajectories of Articulated Objects
We investigate the problem of learning the structure of an articulated object, i.e. its kinematic chain, from feature trajectories under affine projections. We demonstrate this po...
Jingyu Yan, Marc Pollefeys
129
Voted
VLDB
2004
ACM
124views Database» more  VLDB 2004»
15 years 9 months ago
Automated Statistics Collection in DB2 UDB
The use of inaccurate or outdated database statistics by the query optimizer in a relational DBMS often results in a poor choice of query execution plans and hence unacceptably lo...
Ashraf Aboulnaga, Peter J. Haas, Sam Lightstone, G...
140
Voted
KES
2005
Springer
15 years 9 months ago
Learning Method for Automatic Acquisition of Translation Knowledge
This paper presents a new learning method for automatic acquisition of translation knowledge from parallel corpora. We apply this learning method to automatic extraction of bilingu...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi
127
Voted
BMCBI
2010
145views more  BMCBI 2010»
15 years 3 months ago
WaveletQuant, an improved quantification software based on wavelet signal threshold de-noising for labeled quantitative proteomi
Background: Quantitative proteomics technologies have been developed to comprehensively identify and quantify proteins in two or more complex samples. Quantitative proteomics base...
Fan Mo, Qun Mo, Yuanyuan Chen, David R. Goodlett, ...