2884 search results - page 226 / 577 » Evaluating learning algorithms and classifiers |
116
Voted
KDD
2008
ACM
16 years 1 months ago
2008
ACM
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
CEC
2010
IEEE
15 years 1 months ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
100
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ADMA
2005
Springer
15 years 6 months ago
2005
Springer
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
109
Voted
PAMI
2006
15 years 16 days ago
2006
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
96
Voted
CVPR
2001
IEEE
16 years 2 months ago
2001
IEEE
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...