2518 search results - page 138 / 504 » Machine learning in sedimentation modelling |
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
NIPS
2008
13 years 11 months ago
2008
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
ALT
2008
Springer
14 years 7 months ago
2008
Springer
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model con...
ECTEL
2006
Springer
14 years 1 months ago
2006
Springer
In this paper, we introduce a new, formal model of learning object metadata. The model enables more formal, rigorous reasoning over metadata. An important feature of the model is t...
ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
We consider reinforcement learning in systems with unknown dynamics. Algorithms such as E3 (Kearns and Singh, 2002) learn near-optimal policies by using "exploration policies...