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» Informative sampling for large unbalanced data sets
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144
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APIN
1998
132views more  APIN 1998»
15 years 3 months ago
Evolution-Based Methods for Selecting Point Data for Object Localization: Applications to Computer-Assisted Surgery
Object localization has applications in many areas of engineering and science. The goal is to spatially locate an arbitrarily-shaped object. In many applications, it is desirable ...
Shumeet Baluja, David Simon
166
Voted
BMCBI
2004
177views more  BMCBI 2004»
15 years 3 months ago
Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
Andrew F. Neuwald, Jun S. Liu
130
Voted
CIKM
2007
Springer
15 years 9 months ago
Evaluation of partial path queries on xml data
XML query languages typically allow the specification of structural patterns of elements. Finding the occurrences of such patterns in an XML tree is the key operation in XML quer...
Stefanos Souldatos, Xiaoying Wu, Dimitri Theodorat...
157
Voted
TASE
2010
IEEE
14 years 10 months ago
Clear and Precise Specification of Ecological Data Management Processes and Dataset Provenance
Abstract--With the availability of powerful computational and communication systems, scientists now readily access large, complicated derived datasets and build on those results to...
Leon J. Osterweil, Lori A. Clarke, Aaron M. Elliso...
114
Voted
DAWAK
2004
Springer
15 years 9 months ago
A Tree Partitioning Method for Memory Management in Association Rule Mining
All methods of association rule mining require the frequent sets of items, that occur together sufficiently often to be the basis of potentially interesting rules, to be first com...
Shakil Ahmed, Frans Coenen, Paul H. Leng