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SIGMOD
2004
ACM
150views Database» more  SIGMOD 2004»
14 years 5 months ago
When one Sample is not Enough: Improving Text Database Selection Using Shrinkage
Database selection is an important step when searching over large numbers of distributed text databases. The database selection task relies on statistical summaries of the databas...
Panagiotis G. Ipeirotis, Luis Gravano
CSB
2005
IEEE
133views Bioinformatics» more  CSB 2005»
13 years 11 months ago
Sequential Classification for Microarray and Clinical Data
Sequential classification uses in a stepwise process only part of the data (evidence) for partial classification, i.e., classifying only objects with sufficient evidence and leavi...
Günter Tusch
JMLR
2010
156views more  JMLR 2010»
13 years 17 days ago
Classification with Incomplete Data Using Dirichlet Process Priors
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
Chunping Wang, Xuejun Liao, Lawrence Carin, David ...
KDD
2008
ACM
167views Data Mining» more  KDD 2008»
14 years 6 months ago
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
13 years 6 months ago
Support vector machine classifiers for sequential decision problems
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...
Eladio Rodriguez Diaz, David A. Castaon