2518 search results - page 138 / 504 » Machine learning in sedimentation modelling |
119
click to vote
ICML
2007
IEEE
16 years 4 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...
126
click to vote
NIPS
2008
15 years 4 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...
131
click to vote
ALT
2008
Springer
16 years 7 days 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...
120
click to vote
ECTEL
2006
Springer
15 years 7 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...
143
Voted
ICML
2005
IEEE
16 years 4 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...