2518 search results - page 113 / 504 » Machine learning in sedimentation modelling |
DSMML
2004
Springer
14 years 3 months ago
2004
Springer
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
NIPS
2008
13 years 11 months ago
2008
The Temporal Restricted Boltzmann Machine (TRBM) is a probabilistic model for sequences that is able to successfully model (i.e., generate nice-looking samples of) several very hi...
ICML
2008
IEEE
14 years 11 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
WEBI
2007
Springer
14 years 4 months ago
2007
Springer
— Many information retrieval and machine learning methods have not evolved in order to be applied to the Web. Two main problems in applying some machine learning techniques for W...
ICALT
2003
IEEE
14 years 3 months ago
2003
IEEE
The issue of initializing the model of a new student is of great importance for educational applications that aim at offering individualized support to students. In this paper we ...