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ICNC
2005
Springer
16 years 5 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
ECTEL
2007
Springer
16 years 25 days ago
Representing Computer-Supported Collaborative Learning Macro-scripts using IMS Learning Design
IMS Learning Design (LD) is a specification that aims at computationally representing any learning process. However, the possibilities of LD to represent collaborative learning sce...
Davinia Hernández Leo, Daniel Burgos, Colin...
COLT
2008
Springer
15 years 8 months ago
How Local Should a Learning Method Be?
We consider the question of why modern machine learning methods like support vector machines outperform earlier nonparametric techniques like kNN. Our approach investigates the lo...
Alon Zakai, Yaacov Ritov
FTDCS
1999
IEEE
15 years 11 months ago
Supporting Real World Security Models in Java
The Java Security Model has undergone considerable evolution since its initial implementation. However, due to its historical focus on securing machines against attack from hostil...
Ian Welch, Robert J. Stroud
ICIP
2009
IEEE
15 years 4 months ago
Efficient reduction of support vectors in kernel-based methods
Kernel-based methods, e.g., support vector machine (SVM), produce high classification performances. However, the computation becomes time-consuming as the number of the vectors su...
Takumi Kobayashi, Nobuyuki Otsu