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» Learning Classifiers from Semantically Heterogeneous Data
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BMCBI
2010
118views more  BMCBI 2010»
13 years 8 months ago
Walk-weighted subsequence kernels for protein-protein interaction extraction
Background: The construction of interaction networks between proteins is central to understanding the underlying biological processes. However, since many useful relations are exc...
Seonho Kim, Juntae Yoon, Jihoon Yang, Seog Park
BMCBI
2008
143views more  BMCBI 2008»
13 years 8 months ago
Automatic detection of exonic splicing enhancers (ESEs) using SVMs
Background: Exonic splicing enhancers (ESEs) activate nearby splice sites and promote the inclusion (vs. exclusion) of exons in which they reside, while being a binding site for S...
Britta Mersch, Alexander Gepperth, Sándor S...
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
14 years 9 months ago
Empirical comparisons of various voting methods in bagging
Finding effective methods for developing an ensemble of models has been an active research area of large-scale data mining in recent years. Models learned from data are often subj...
Kelvin T. Leung, Douglas Stott Parker Jr.
WWW
2007
ACM
14 years 9 months ago
Demographic prediction based on user's browsing behavior
Demographic information plays an important role in personalized web applications. However, it is usually not easy to obtain this kind of personal data such as age and gender. In t...
Jian Hu, Hua-Jun Zeng, Hua Li, Cheng Niu, Zheng Ch...
MIR
2004
ACM
125views Multimedia» more  MIR 2004»
14 years 2 months ago
Autonomous visual model building based on image crawling through internet search engines
In this paper, we propose an autonomous learning scheme to automatically build visual semantic concept models from the output data of Internet search engines without any manual la...
Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun