
We have seen the Minimum Message Length (MML) and other treatments
of "simple" hypotheses over
"simple" data such as finite choices,
e.g. multistate,
and continuous values,
e.g. normal distribution, etc.
It turns out that structured hypotheses
can be formed from combinations of simple hypotheses
plus a component to describe the particular structure.
A few examples:
hypotheses

simple hypotheses

structured hypotheses

MMLFP:
ACSC03,
JFP,
ACSC06,
II
1.0
1.1

discrete

continuous

Sequences, time series, grids, images,...

unsupervised

supervised


finite, multistate

enumerable, integers

normal

... 
Markov models,
HMM+PFSA,
BioInformatics,
Segmentation

classification, clustering,
mixture model,...
in series,
factors,...
W+F'87...
W+B'68

... 
decision tree,
decision graph,
...

... 
Bayes net,
hybrids


