160 search results - page 13 / 32 » Improving Probabilistic Automata Learning with Additional Kn... |
ECML
2001
Springer
13 years 12 months ago
2001
Springer
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciļ...
TASLP
2011
13 years 2 months ago
2011
AbstractāA probabilistic kernel approach to pairwise preference learning based on Gaussian processes is applied to predict preference judgments for sound quality degradation mech...
MLDM
2007
Springer
14 years 1 months ago
2007
Springer
Transduction is an inference mechanism āfrom particular to particularā. Its application to classiļ¬cation tasks implies the use of both labeled (training) data and unlabeled (...
CTW
2006
13 years 7 months ago
2006
Organizations with different cultures will be increasingly required to interface with each other as legislation is introduced to ensure the interoperability of railway systems acr...
PKAW
2010
13 years 5 months ago
2010
How humans infer probable information from the limited observed data? How they are able to build on little knowledge about the context in hand? Is the human memory repeatedly const...