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KAIS
2006
121views more  KAIS 2006»
15 years 6 months ago
Using discriminant analysis for multi-class classification: an experimental investigation
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
Tao Li, Shenghuo Zhu, Mitsunori Ogihara
SIGCSE
2008
ACM
412views Education» more  SIGCSE 2008»
15 years 6 months ago
Undergraduate data communications and networking projects using opnet and wireshark software
The national importance of creating "content reflecting cutting edge developments in STEM fields" has been recognized the National Science Foundation. The National Resea...
Vasil Hnatyshin, Andrea F. Lobo
JIPS
2007
134views more  JIPS 2007»
15 years 6 months ago
An Efficient Functional Analysis Method for Micro-array Data Using Gene Ontology
: Microarray data includes tens of thousands of gene expressions simultaneously, so it can be effectively used in identifying the phenotypes of diseases. However, the retrieval of ...
Dong-wan Hong, Jong-keun Lee, Sung-soo Park, Sang-...
TVCG
2008
95views more  TVCG 2008»
15 years 6 months ago
Improving the Readability of Clustered Social Networks using Node Duplication
Exploring communities is an important task in social network analysis. Such communities are currently identified using clustering methods to group actors. This approach often leads...
Nathalie Henry, Anastasia Bezerianos, Jean-Daniel ...
COLING
2002
15 years 6 months ago
Automatic Text Categorization using the Importance of Sentences
Automatic text categorization is a problem of automatically assigning text documents to predefined categories. In order to classify text documents, we must extract good features f...
Youngjoong Ko, Jinwoo Park, Jungyun Seo