370 search results - page 4 / 74 » Learning to rank from Bayesian decision inference |
PKDD
2010
Springer
13 years 4 months ago
2010
Springer
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...
SARA
2007
Springer
13 years 12 months ago
2007
Springer
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
WWW
2008
ACM
14 years 6 months ago
2008
ACM
Geographic information has spawned many novel Web applications where global positioning system (GPS) plays important roles in bridging the applications and end users. Learning kno...
MANSCI
2006
13 years 5 months ago
2006
The problem of group ranking, a.k.a. rank aggregation, has been studied in contexts varying from sports, to multi-criteria decision making, to machine learning, to ranking web pag...
IJAR
2006
13 years 5 months ago
2006
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...