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» Practical Preference Relations for Large Data Sets
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INFOVIS
2000
IEEE
14 years 26 days ago
Polaris: A System for Query, Analysis and Visualization of Multi-Dimensional Relational Databases
In the last several years, large multi-dimensional databases have become common in a variety of applications such as data warehousing and scientific computing. Analysis and explor...
Chris Stolte, Pat Hanrahan
BMCBI
2006
94views more  BMCBI 2006»
13 years 8 months ago
Noise-injected neural networks show promise for use on small-sample expression data
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...
BMCBI
2007
194views more  BMCBI 2007»
13 years 8 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
SIGMOD
2002
ACM
196views Database» more  SIGMOD 2002»
14 years 8 months ago
Storing and querying ordered XML using a relational database system
XML is quickly becoming the de facto standard for data exchange over the Internet. This is creating a new set of data management requirements involving XML, such as the need to st...
Igor Tatarinov, Stratis Viglas, Kevin S. Beyer, Ja...
LREC
2008
125views Education» more  LREC 2008»
13 years 10 months ago
Adaptation of Relation Extraction Rules to New Domains
This paper presents various strategies for improving the extraction performance of less prominent relations with the help of the rules learned for similar relations, for which lar...
Feiyu Xu, Hans Uszkoreit, Hong Li, Niko Felger