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» Temporal Data Classification Using Linear Classifiers
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116
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IDA
2005
Springer
15 years 9 months ago
Condensed Nearest Neighbor Data Domain Description
—A simple yet effective unsupervised classification rule to discriminate between normal and abnormal data is based on accepting test objects whose nearest neighbors’ distances ...
Fabrizio Angiulli
VVS
1996
IEEE
98views Visualization» more  VVS 1996»
15 years 7 months ago
Classification and Local Error Estimation of Interpolation and Derivative Filters for Volume Rendering
We describe a new method for analyzing, classifying, and evaluating filters, which can be applied to interpolation filters, and derivative filters. Our analysis is based on the Ta...
Torsten Möller, Raghu Machiraju, Klaus Muelle...
122
Voted
BMCBI
2005
140views more  BMCBI 2005»
15 years 3 months ago
JACOP: A simple and robust method for the automated classification of protein sequences with modular architecture
Background: Whole-genome sequencing projects are rapidly producing an enormous number of new sequences. Consequently almost every family of proteins now contains hundreds of membe...
Peter Sperisen, Marco Pagni
109
Voted
ACL
2009
15 years 1 months ago
A Beam-Search Extraction Algorithm for Comparable Data
This paper extends previous work on extracting parallel sentence pairs from comparable data (Munteanu and Marcu, 2005). For a given source sentence S, a maximum entropy (ME) class...
Christoph Tillmann
135
Voted
IJBRA
2007
97views more  IJBRA 2007»
15 years 3 months ago
Structural Risk Minimisation based gene expression profiling analysis
: For microarray based cancer classification, feature selection is a common method for improving classifier generalisation. Most wrapper methods use cross validation methods to eva...
Xue-wen Chen, Byron Gerlach, Dechang Chen, ZhenQiu...