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» Making inferences with small numbers of training sets
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SDM
2008
SIAM
165views Data Mining» more  SDM 2008»
13 years 10 months ago
On the Dangers of Cross-Validation. An Experimental Evaluation
Cross validation allows models to be tested using the full training set by means of repeated resampling; thus, maximizing the total number of points used for testing and potential...
R. Bharat Rao, Glenn Fung
ISPE
2003
13 years 10 months ago
Application of data mining and intelligent agent technologies to concurrent engineering
: Software agent technology has matured enough to produce intelligent agents, which can be used to control a large number of concurrent engineering tasks. Multi-agent systems are c...
Pericles A. Mitkas, Andreas L. Symeonidis, Dionisi...
ICDM
2008
IEEE
142views Data Mining» more  ICDM 2008»
14 years 3 months ago
Unsupervised Face Annotation by Mining the Web
Searching for images of people is an essential task for image and video search engines. However, current search engines have limited capabilities for this task since they rely on ...
Duy-Dinh Le, Shin'ichi Satoh
ENGL
2007
89views more  ENGL 2007»
13 years 9 months ago
Similarity-based Heterogeneous Neural Networks
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...
Lluís A. Belanche Muñoz, Julio Jose ...
IJON
2010
112views more  IJON 2010»
13 years 6 months ago
Efficient voting prediction for pairwise multilabel classification
The pairwise approach to multilabel classification reduces the problem to learning and aggregating preference predictions among the possible labels. A key problem is the need to qu...
Eneldo Loza Mencía, Sang-Hyeun Park, Johann...