2518 search results - page 51 / 504 » Machine learning in sedimentation modelling |
ICML
2005
IEEE
14 years 10 months ago
2005
IEEE
We propose machine learning methods for the estimation of deformation fields that transform two given objects into each other, thereby establishing a dense point to point correspo...
ICANN
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
The Conditional Restricted Boltzmann Machine (CRBM) is a recently proposed model for time series that has a rich, distributed hidden state and permits simple, exact inference. We ...
ECML
1991
Springer
14 years 1 months ago
1991
Springer
This paper presents an approach to domain modeling and knowledge acquisition that consists of a gradual and goal-driven improvement of an incomplete domain model provided by a hum...
DAGSTUHL
1996
13 years 11 months ago
1996
The areas of On-Line Algorithms and Machine Learning are both concerned with problems of making decisions about the present based only on knowledge of the past. Although these area...