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» SVM Based Learning System for Information Extraction
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SAC
2006
ACM
14 years 2 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
NAACL
2004
13 years 9 months ago
Multiple Similarity Measures and Source-Pair Information in Story Link Detection
State-of-the-art story link detection systems, that is, systems that determine whether two stories are about the same event or linked, are usually based on the cosine-similarity m...
Francine Chen, Ayman Farahat, Thorsten Brants
BMCBI
2008
94views more  BMCBI 2008»
13 years 8 months ago
Identification of Proteins Secreted by Malaria Parasite into Erythrocyte using SVM and PSSM profiles
Background: Malaria parasite secretes various proteins in infected RBC for its growth and survival. Thus identification of these secretory proteins is important for developing vac...
Ruchi Verma, Ajit Tiwari, Sukhwinder Kaur, Grish C...
ICIP
2001
IEEE
14 years 10 months ago
Support vector machine learning for image retrieval
In this paper, a novel method of relevance feedback is presented based on Support Vector Machine learning in the content-based image retrieval system. A SVM classifier can be lear...
Lei Zhang, Fuzong Lin, Bo Zhang
CICLING
2005
Springer
14 years 2 months ago
A Machine Learning Approach to Information Extraction
Information extraction is concerned with applying natural language processing to automatically extract the essential details from text documents. A great disadvantage of current ap...
Alberto Téllez-Valero, Manuel Montes-y-G&oa...