Associative memories offer high levels of parallelism in matching a query against stored entries. We design and analyze an architecture which uses a single lookup into a Ternary C...
Mining frequent patterns in transaction databases, time-series databases, and many other kinds of databases has been studied popularly in data mining research. Most of the previous...
The paper extends some of the most recently obtained results on the computational universality of speci c variants of H systems (e.g. with regular sets of rules) and proves that we...
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...