370 search results - page 27 / 74 » Learning to rank from Bayesian decision inference |
MCS
2005
Springer
14 years 1 months ago
2005
Springer
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
NIPS
2003
13 years 9 months ago
2003
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking f...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
SIGIR
2010
ACM
13 years 11 months ago
2010
ACM
Traditional retrieval evaluation uses explicit relevance judgments which are expensive to collect. Relevance assessments inferred from implicit feedback such as click-through data...
ICCSA
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. The accurate prediction of Web navigation patterns has immense commercial value as the Web evolves into a primary medium for marketing and sales for many businesses. Ofte...