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KDD
1998
ACM
112views Data Mining» more  KDD 1998»
13 years 9 months ago
Evaluating Usefulness for Dynamic Classification
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...
Gholamreza Nakhaeizadeh, Charles Taylor, Carsten L...
EUSFLAT
2009
133views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
On the Information Provided by Uncertainty Measures in the Classification of Remote Sensing Images
This paper investigates the potential information provided to the user by the uncertainty measures applied to the possibility distributions associated with the spatial units of an ...
Luisa M. S. Gonçalves, Cidália C. Fo...
DATAMINE
2002
169views more  DATAMINE 2002»
13 years 4 months ago
Advances in Instance Selection for Instance-Based Learning Algorithms
The basic nearest neighbour classifier suffers from the indiscriminate storage of all presented training instances. With a large database of instances classification response time ...
Henry Brighton, Chris Mellish
PAMI
2008
208views more  PAMI 2008»
13 years 4 months ago
BoostMap: An Embedding Method for Efficient Nearest Neighbor Retrieval
This paper describes BoostMap, a method for efficient nearest neighbor retrieval under computationally expensive distance measures. Database and query objects are embedded into a v...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...
IJCNN
2006
IEEE
13 years 10 months ago
Nonlinear principal component analysis of noisy data
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
William W. Hsieh