Keyhole state space construction with applications to user modeling
Most models that explain observations in time depend on a structured state space as a basis for their modeling. We present methods to derive such a state space and its dynamics automatically from the observations, without any knowledge of their meaning or source. First, we build an explicit state...
| Main Author: | |
|---|---|
| Format: | Others |
| Language: | English |
| Published: |
2009
|
| Online Access: | http://hdl.handle.net/2429/10623 |