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KDD
2007
ACM
161views Data Mining» more  KDD 2007»
16 years 4 months ago
Discovering the hidden structure of house prices with a non-parametric latent manifold model
Sumit Chopra, Trivikraman Thampy, John Leahy, Andr...
RTS
2008
74views more  RTS 2008»
15 years 4 months ago
Quantifying and suppressing the measurement disturbance in feedback controlled real-time systems
In the control of continuous and physical systems, the controlled system is sampled sufficiently fast to capture the dynamics of the system. In general, this property cannot be app...
Mehdi Amirijoo, Jörgen Hansson, Svante Gunnar...
ILP
2005
Springer
15 years 10 months ago
Spatial Clustering of Structured Objects
Clustering is a fundamental task in Spatial Data Mining where data consists of observations for a site (e.g. areal units) descriptive of one or more (spatial) primary units, possib...
Donato Malerba, Annalisa Appice, Antonio Varlaro, ...
WWW
2010
ACM
15 years 9 months ago
Data summaries for on-demand queries over linked data
Typical approaches for querying structured Web Data collect (crawl) and pre-process (index) large amounts of data in a central data repository before allowing for query answering....
Andreas Harth, Katja Hose, Marcel Karnstedt, Axel ...
BMCBI
2006
137views more  BMCBI 2006»
15 years 4 months ago
Improving the accuracy of protein secondary structure prediction using structural alignment
Background: The accuracy of protein secondary structure prediction has steadily improved over the past 30 years. Now many secondary structure prediction methods routinely achieve ...
Scott Montgomerie, Shan Sundararaj, Warren J. Gall...