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PR
2008
102views more  PR 2008»
15 years 7 months ago
Classification in an informative sample subspace
We have developed an informative sample subspace (ISS) method that is suitable for projecting high-dimensional data onto a low-dimensional subspace for classification purposes. In...
Guoping Qiu, Jianzhong Fang
PRL
2008
91views more  PRL 2008»
15 years 7 months ago
Fuzzy relevance vector machine for learning from unbalanced data and noise
Handing unbalanced data and noise are two important issues in the field of machine learning. This paper proposed a complete framework of fuzzy relevance vector machine by weightin...
Dingfang Li, Wenchao Hu, Wei Xiong, Jin-Bo Yang
PAMI
2006
127views more  PAMI 2006»
15 years 7 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
SIGCSE
2008
ACM
110views Education» more  SIGCSE 2008»
15 years 7 months ago
Innovating our self image
ion." These images do not foster collaboration with other fields and do not excite the curiosity of young people. In this session, Astrachan and Denning will discuss what they...
Owen L. Astrachan, Peter J. Denning
SYNTHESE
2008
84views more  SYNTHESE 2008»
15 years 7 months ago
Model structure adequacy analysis: selecting models on the basis of their ability to answer scientific questions
Models carry the meaning of science. This puts a tremendous burden on the process of model selection. In general practice, models are selected on the basis of their relative goodne...
Mark L. Taper, David F. Staples, Bradley B. Shepar...