EMMCVPR
2011
Springer
12 years 10 months ago
2011
Springer
The recently proposed ImageNet dataset consists of several million images, each annotated with a single object category. However, these annotations may be imperfect, in the sense t...
SIGIR
2008
ACM
13 years 10 months ago
2008
ACM
Evaluation measures act as objective functions to be optimized by information retrieval systems. Such objective functions must accurately reflect user requirements, particularly w...
SIGIR
2008
ACM
13 years 10 months ago
2008
ACM
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
ACL
2006
14 years 6 days ago
2006
This paper proposes a framework for training Conditional Random Fields (CRFs) to optimize multivariate evaluation measures, including non-linear measures such as F-score. Our prop...
TREC
2008
14 years 7 days ago
2008
: We document our participation in the TREC 2008 Legal Track. This year we focused solely on selecting rank cut-offs for optimizing the given evaluation measure per topic.
AUSDM
2008
Springer
14 years 25 days ago
2008
Springer
The area of imbalanced datasets is still relatively new, and it is known that the use of overall accuracy is not an appropriate evaluation measure for imbalanced datasets, because...