... tree3.1
We assume for now that the join tree is really a tree.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
... linear3.2
Note that the data is assumed to be zero mean here to simplify the equations.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
... equivalent3.3
By either ignoring the conditioned $ x(t-1)$ or including a copy of the observation to the hidden state.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
...4.1
The use of nonlinear models is nontrivial, like choosing a good kernel in kernel PCA.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
... variables.5.1
Atoms may in general be nested. For example $ \mathrm{knows}(X,\mathrm{mother}(X,Y)) \leftarrow
\mathrm{mother}(X,Y)$ means that every person $ X$ knows that she is the mother of $ Y$ if that really is the case. Nested atoms are out of the scope of this thesis.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
... page5.2
http://www.cs.bris.ac.uk/~ILPnet2/
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
... PRMs.6.1
LOHMMs are acyclic by definition since all directed edges point from past to future.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
... generalised.7.1
The algorithmic improvements in nonlinear state-space models are ongoing.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.