370 search results - page 54 / 74 » Learning to rank from Bayesian decision inference |
ALT
2007
Springer
14 years 1 months ago
2007
Springer
In transfer learning the aim is to solve new learning tasks using fewer examples by using information gained from solving related tasks. Existing transfer learning methods have be...
ECCV
2000
Springer
14 years 9 months ago
2000
Springer
Abstract. The ability to learn from user interaction is an important asset for content-based image retrieval (CBIR) systems. Over short times scales, it enables the integration of ...
IPPS
2006
IEEE
14 years 1 months ago
2006
IEEE
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
UAI
2000
13 years 9 months ago
2000
Decision theory does not traditionally include uncertainty over utility functions. We argue that the a person's utility value for a given outcome can be treated as we treat o...
JUCS
2010
13 years 6 months ago
2010
: Classical classification and clustering based on equivalence relations are very important tools in decision-making. An equivalence relation is usually determined by properties of...