10 search results - page 1 / 2 » Learning of Simple Conceptual Graphs from Positive and Negat... |
PKDD
1999
Springer
13 years 11 months ago
1999
Springer
ICFCA
2007
Springer
14 years 1 months ago
2007
Springer
Kuznetsov shows that Formal Concept Analysis (FCA) is a natural framework for learning from positive and negative examples. Indeed, the results of learning from positive examples (...
TREC
2004
13 years 8 months ago
2004
We approached the problem of classifying papers for the TREC 2004 Genomics Track triage task as a four step process: feature generation, feature selection, classifier training, an...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
We propose a two-class classification model for grouping. Human segmented natural images are used as positive examples. Negative examples of grouping are constructed by randomly m...
NIPS
2004
13 years 8 months ago
2004
In many applications, good ranking is a highly desirable performance for a classifier. The criterion commonly used to measure the ranking quality of a classification algorithm is ...