2245 search results - page 19 / 449 » Metrics that Learn Relevance |
NAACL
1994
13 years 9 months ago
1994
The normal practice of selecting relevant documents for training routing queries is to either use all relevants or the 'best n' of them after a (retrieval) ranking opera...
AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
ICCV
2003
IEEE
14 years 29 days ago
2003
IEEE
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
ICMCS
2007
IEEE
14 years 2 months ago
2007
IEEE
This paper introduces a flexible learning approach for image retrieval with relevance feedback. A semantic repository is constructed offline by applying the k-nearest-neighborbase...
IJCNN
2000
IEEE
14 years 2 days ago
2000
IEEE
Since the classical work of D. O. Hebb [1] it has been assumed that synaptic plasticity solely depends on the activity of the pre- and the postsynaptic cell. Synapses influence th...