146 search results - page 5 / 30 » Learning to rank with multiple objective functions |
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Pattern ordering is an important task in data mining because the number of patterns extracted by standard data mining algorithms often exceeds our capacity to manually analyze the...
EMNLP
2011
13 years 9 months ago
2011
We present an online learning algorithm for training parsers which allows for the inclusion of multiple objective functions. The primary example is the extension of a standard sup...
JMLR
2006
14 years 9 months ago
2006
We discuss the problem of learning to rank labels from a real valued feedback associated with each label. We cast the feedback as a preferences graph where the nodes of the graph ...
WSDM
2012
ACM
13 years 5 months ago
2012
ACM
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
We propose a category-independent method to produce a bag of regions and rank them, such that top-ranked regions are likely to be good segmentations of different objects. Our key ...