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144
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TNN
2010
176views Management» more  TNN 2010»
14 years 9 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
118
Voted
IEEESCC
2006
IEEE
15 years 8 months ago
Personalized Active Service Spaces for End-User Service Composition
End-user service composition is a promising way to ensure flexible, quick and personalized information provision and utilization, and consequently to better cope with spontaneous ...
Jun Han, Yanbo Han, Yan Jin, Jianwu Wang, Jian Yu
108
Voted
ANLP
1992
89views more  ANLP 1992»
15 years 3 months ago
Computational Lexicons: the Neat Examples and the Odd Exemplars
When implementing computational lexicons it is important to keep in mind the texts that a NLP system must deal with. Words relate to each other in many different, often queer, way...
Roberto Basili, Maria Teresa Pazienza, Paola Velar...
COLT
2010
Springer
15 years 18 days ago
Forest Density Estimation
We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estim...
Anupam Gupta, John D. Lafferty, Han Liu, Larry A. ...
BMCBI
2010
162views more  BMCBI 2010»
15 years 2 months ago
SNP-RFLPing 2: an updated and integrated PCR-RFLP tool for SNP genotyping
Background: PCR-restriction fragment length polymorphism (RFLP) assay is a cost-effective method for SNP genotyping and mutation detection, but the manual mining for restriction e...
Hsueh-Wei Chang, Yu-Huei Cheng, Li-Yeh Chuang, Che...