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» Model order selection for bio-molecular data clustering
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EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
15 years 11 months ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...
BMCBI
2010
113views more  BMCBI 2010»
15 years 6 months ago
Statistical method on nonrandom clustering with application to somatic mutations in cancer
Background: Human cancer is caused by the accumulation of tumor-specific mutations in oncogenes and tumor suppressors that confer a selective growth advantage to cells. As a conse...
Jingjing Ye, Adam Pavlícek, Elizabeth A. Lu...
HPCA
2007
IEEE
16 years 6 months ago
Improving Branch Prediction and Predicated Execution in Out-of-Order Processors
If-conversion is a compiler technique that reduces the misprediction penalties caused by hard-to-predict branches, transforming control dependencies into data dependencies. Althou...
Eduardo Quiñones, Joan-Manuel Parcerisa, An...
IIS
2003
15 years 7 months ago
Ontology-based Text Document Clustering
Text clustering typically involves clustering in a high dimensional space, which appears difficult with regard to virtually all practical settings. In addition, given a particular...
Steffen Staab, Andreas Hotho
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 6 months ago
Cluster-based concept invention for statistical relational learning
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
Alexandrin Popescul, Lyle H. Ungar