Cover is a data-driven machine learning system for attribute-value
machine learning that employs admissible search.  The principles by
which Cover operates are described in 

  G. Webb (1995) OPUS: An efficient admissible algorithm for unordered
  search. Journal of Artificial Intelligence Research. 3: 431-465.

and the OPUS series of papers that can be downloaded from
http://www.csse.monash.edu.au/~webb/.

This directory contains:

ReadMe:		this message.

cover:		executable binary code of Cover version 2.0 for
		Linux.

CoverManual:	Manual for the above in ASCII text.

people.all:	Example input file.  ASCII text.

people_aux.all:	Example input file.  ASCII text.
