=ADD=
=reftype=
14
=number=
99-17
=url=
ftp://ftp.risc.uni-linz.ac.at/pub/techreports/1999/99-17.ps.gz
=year=
1999
=month=
07
=author=
Blurock; Edward S.
=title=
ANALYSIS++: Object-Oriented Framework for Generalized Machine Learning Algorithms
=abstract=
  ANALYSIS++ is a system, written in C++, for the
  manipulation and development of generalized machine learning methods
  within a multi-strategy approach.  The system's flexibility is a
  result of the object-oriented principles used in the design of its
  component frameworks: object, algorithm and run.  The object
  framework is for the management of the data used and generated by
  machine learning methods. The algorithm framework organizes the
  machine learning methods and their support routines.  The run
  framework manages algorithms in a goal-oriented strategy.  This
  paper outlines the essential classes of each framework with examples
  on how they are used in the design of generalized machine learning
  methods.
=sponsor=
UNI-Software Plus, FLLL 
=keywords=
machine learning, framework, object-oriented