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ICNC
2005
Springer
16 years 23 days ago
Support Vector Based Prototype Selection Method for Nearest Neighbor Rules
The Support vector machines derive the class decision hyper planes from a few, selected prototypes, the support vectors (SVs) according to the principle of structure risk minimizat...
Yuangui Li, Zhonghui Hu, Yunze Cai, Weidong Zhang
ICDM
2006
IEEE
140views Data Mining» more  ICDM 2006»
16 years 1 months ago
Mining the Future: Predicting Itemsets' Support of Association Rules Mining
This paper proposes a novel research dimension in the field of data mining, which is mining the future data before its arrival, or in other words: predicting association rules ahe...
Shenoda Guirguis, Khalil M. Ahmed, Nagwa M. El-Mak...
SEMWEB
2007
Springer
16 years 1 months ago
A Cognitive Support Framework for Ontology Mapping
Abstract. Ontology mapping is the key to data interoperability in the semantic web. This problem has received a lot of research attention, however, the research emphasis has been m...
Sean M. Falconer, Margaret-Anne D. Storey
ICIC
2005
Springer
16 years 23 days ago
Methods of Decreasing the Number of Support Vectors via k-Mean Clustering
This paper proposes two methods which take advantage of k -mean clustering algorithm to decrease the number of support vectors (SVs) for the training of support vector machine (SVM...
Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok, Guang-...
CAIP
2003
Springer
184views Image Analysis» more  CAIP 2003»
16 years 15 days ago
Multi-class Support Vector Machines with Case-Based Combination for Face Recognition
Abstract. The support vector machine is basically to deal with a two-class classification problem. To get M-class classifiers for face recognition, it is common to construct a set ...
Jaepil Ko, Hyeran Byun