1339 search results - page 3 / 268 » Learning Functions from Imperfect Positive Data |
IDA
2005
Springer
14 years 29 days ago
2005
Springer
We consider the problem of learning a ranking function, that is a mapping from instances to rankings over a finite number of labels. Our learning method, referred to as ranking by...
AII
1992
13 years 11 months ago
1992
Most theoretical models of inductive inference make the idealized assumption that the data available to a learner is from a single and accurate source. The subject of inaccuracies ...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
PKDD
1999
Springer
13 years 11 months ago
1999
Springer
NCA
2007
IEEE
13 years 7 months ago
2007
IEEE
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...