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» Practical Preference Relations for Large Data Sets
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AI
2005
Springer
15 years 11 months ago
Instance Cloning Local Naive Bayes
The instance-based k-nearest neighbor algorithm (KNN)[1] is an effective classification model. Its classification is simply based on a vote within the neighborhood, consisting o...
Liangxiao Jiang, Harry Zhang, Jiang Su
WWW
2001
ACM
16 years 7 months ago
Efficient Acquisition of Web Data through Restricted Query Interfaces
A wealth of information is available on the Web. But often, such data are hidden behind form interfaces which allow only a restrictive set of queries over the underlying databases...
Cláudio T. Silva, Juliana Freire, Simon Bye...
BMCBI
2007
159views more  BMCBI 2007»
15 years 6 months ago
Detecting differential expression in microarray data: comparison of optimal procedures
Background: Many procedures for finding differentially expressed genes in microarray data are based on classical or modified t-statistics. Due to multiple testing considerations, ...
Elena Perelman, Alexander Ploner, Stefano Calza, Y...
SADM
2010
141views more  SADM 2010»
15 years 1 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
BMCBI
2010
148views more  BMCBI 2010»
15 years 6 months ago
Applying unmixing to gene expression data for tumor phylogeny inference
Background: While in principle a seemingly infinite variety of combinations of mutations could result in tumor development, in practice it appears that most human cancers fall int...
Russell Schwartz, Stanley Shackney