296 search results - page 15 / 60 » How to process uncertainty in machine learning |
110
Voted
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
163
Voted
CSL
2007
Springer
15 years 3 months ago
2007
Springer
In a spoken dialog system, determining which action a machine should take in a given situation is a difficult problem because automatic speech recognition is unreliable and hence ...
115
Voted
ICALT
2005
IEEE
15 years 9 months ago
2005
IEEE
Up to date, there is no standardized notation scheme for modeling SCORM-conformant contents. It is a time-consuming process to build up a new and widely-acceptable notation scheme...
105
Voted
COLING
2010
14 years 10 months ago
2010
We present an adaptation technique for statistical machine translation, which applies the well-known Bayesian learning paradigm for adapting the model parameters. Since state-of-t...
136
Voted
AE
2003
Springer
15 years 8 months ago
2003
Springer
The aim of this research is to develop an adaptive agent based model of auction scenarios commonly used in auction theory to help understand how competitors in auctions reach equil...