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» Machine Learning by Function Decomposition
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76
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ECML
2007
Springer
15 years 3 months ago
On Minimizing the Position Error in Label Ranking
Conventional classification learning allows a classifier to make a one shot decision in order to identify the correct label. However, in many practical applications, the problem ...
Eyke Hüllermeier, Johannes Fürnkranz
APBC
2004
138views Bioinformatics» more  APBC 2004»
14 years 11 months ago
Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data
Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments. The resulti...
See-Kiong Ng, Zexuan Zhu, Yew-Soon Ong
PVM
2005
Springer
15 years 3 months ago
Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
Thomas Serafini, Luca Zanni, Gaetano Zanghirati
70
Voted
CICLING
2004
Springer
15 years 1 months ago
Korean Compound Noun Decomposition Using Syllabic Information Only
The compound nouns are freely composed in Korean, since it is possible to concatenate independent nouns without a postposition. Therefore, the systems that handle compound nouns su...
Seong-Bae Park, Jeong Ho Chang, Byoung-Tak Zhang
BMCBI
2006
158views more  BMCBI 2006»
14 years 9 months ago
Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
Chaoyang Zhang, Peng Li, Arun Rajendran, Youping D...