CMU Artificial Intelligence Repository
Raymond Mooney's Machine Learning Collection
areas/learning/systems/utexas/
code/ ML-Code: Lisp Code for Assignments in Mooney's
Machine Learning Course
course/ ML-Course: Homework Assignments in Mooney's
Machine Learning Course
neither/ NEITHER: NEITHER Theory Refinement System
papers/ Publications of the UT-Austin Machine Learning
Research Group
progs/ ML-Progs: More "Research-Level" Implementations
of Learning Algorithms
Origin:
cs.utexas.edu:/pub/mooney/
This directory contains a copy of the machine learning programs and
publications made available by the machine learning group under
Raymond Mooney at UT-Austin.
There are four subdirectories:
course/ information and homeworks from a graduate course
in machine learning taught by Dr. Mooney. Homeworks
include "miniatures" of various machine learning
systems written in Common Lisp.
code/ Common Lisp code corresponding to the assignments
for the course in the course directory.
progs/ More "research-level" versions of inductive
classification algorithms and software for automated
experiments that generation learning curves that
compare several systems.
papers/ Publications produced by the machine learning
research group.
Requires: Common Lisp
Copying: Copyright (c) 1991 by Raymond J. Mooney
Use permitted for educational and research purposes only.
Users are requested, but not required, to inform Raymond
J. Mooney of any noteworthy uses of this software.
Please see the file readme.txt for details.
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Contact: Raymond J. Mooney
Assistant Professor
Department of Computer Sciences
University of Texas at Austin
Keywords:
Authors!Mooney, ID3, Inductive Classification, Lisp!Code,
Machine Learning, Teaching Materials
Last Web update on Mon Feb 13 10:24:36 1995
AI.Repository@cs.cmu.edu