| AMResults |
The results of running AM, containing
the analogical effects of the individual training instances as well as the relevant supracontexts
and overall class likelihoods. |
| BasicSupra |
Basic implementation of Supracontext with no extra features. |
| ClassifiedSupra |
This supracontext is called "classified" because it keeps track of its
outcome (or "class") at all times by inspecting the outcomes of the
subcontexts added to it.
|
| Concept<T extends Supracontext> |
This class is a decorator which wraps a Supracontext and adds the
functionality of a node (concept) used in the ImprovedAddIntent algorithm
(see SparseLattice. |
| GangEffect |
Exemplars that seem less similar to the test item than those that seem
more similar can still have a magnified effect if there are many of
them.
|
| Subcontext |
Represents a subcontext, containing a list of Instances
which belong to it, along with their shared Label and common outcome. |
| SubcontextList |
This class creates and manages a list of subcontexts from
a set of previously classified exemplars and an exemplar to be classified. |