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» Learning Classifiers from Semantically Heterogeneous Data
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BMCBI
2007
91views more  BMCBI 2007»
13 years 9 months ago
A machine learning approach for the identification of odorant binding proteins from sequence-derived properties
Background: Odorant binding proteins (OBPs) are believed to shuttle odorants from the environment to the underlying odorant receptors, for which they could potentially serve as od...
Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Sug...
GIS
2010
ACM
13 years 7 months ago
Automatic construction and multi-level visualization of semantic trajectories
With the prevalence of GPS-embedded mobile devices, enormous amounts of mobility data are being collected in the form of trajectory - a stream of (x,y,t) points. Such trajectories...
Zhixian Yan, Lazar Spremic, Dipanjan Chakraborty, ...
KDD
2007
ACM
167views Data Mining» more  KDD 2007»
14 years 9 months ago
Generalized component analysis for text with heterogeneous attributes
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
Xuerui Wang, Chris Pal, Andrew McCallum
PKDD
2005
Springer
89views Data Mining» more  PKDD 2005»
14 years 2 months ago
Community Mining from Multi-relational Networks
Abstract. Social network analysis has attracted much attention in recent years. Community mining is one of the major directions in social network analysis. Most of the existing met...
Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiaw...
EMNLP
2010
13 years 7 months ago
Predicting the Semantic Compositionality of Prefix Verbs
In many applications, replacing a complex word form by its stem can reduce sparsity, revealing connections in the data that would not otherwise be apparent. In this paper, we focu...
Shane Bergsma, Aditya Bhargava, Hua He, Grzegorz K...