249 search results - page 10 / 50 » Learning Causal Models of Relational Domains |
AAMAS
2005
Springer
13 years 7 months ago
2005
Springer
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
CBMS
2006
IEEE
14 years 1 months ago
2006
IEEE
Inductive learning systems have been successfully applied in a number of medical domains. It is generally accepted that the highest accuracy results that an inductive learning sys...
ICML
2003
IEEE
14 years 8 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...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We apply nonparametric hierarchical Bayesian modelling to relational learning. In a hierarchical Bayesian approach, model parameters can be "personalized", i.e., owned b...