CMU Artificial Intelligence Repository
PEBLS: Parallel Exemplar-Based Learning System
areas/learning/systems/pebls/
PEBLS (Parallel Exemplar-Based Learning System) is a nearest-neighbor
learning system designed for applications where the instances have
symbolic feature values. PEBLS has been applied to the prediction of
protein secondary structure and to the identification of DNA promoter
sequences.
PEBLS incorporates a number of features intended to support
flexible experimentation in symbolic domains. We have provided
support for k-nearest neighbor learning, and the ability to choose
among different techniques for weighting both exemplars and individual
features. A number of post-processing techniques specific to the
domain of protein secondary structure have also been provided.
Origin:
ftp.cs.jhu.edu:/pub/pebls/pebls.tar.Z [128.220.13.50]
Version: 3.0 (4-OCT-94)
Requires: ANSI C
Copying: Copyright (c) 1993 by The Johns Hopkins University
Use, copying, modification and distribution permitted
for research purposes only. Any commercial or for-profit
use of PEBLS 3.0 is strictly prohibited without the
express written consent of Prof. Steven Salzberg,
Department of Computer Science, The Johns Hopkins University.
Updated: Fri Oct 7 15:20:35 1994
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Author(s): Steven Salzberg
Dept. of Computer Science
Johns Hopkins University
Baltimore, MD 21218
Tel: 410-516-8438
Keywords:
Authors!Salzberg, C!Code,
Machine Learning!Nearest-Neighbor Learning, PEBLS
References:
A technical description appears in the article by Cost and
Salzberg, Machine Learning journal 10:1 (1993).
S. Cost and S. Salzberg. A Weighted Nearest Neighbor
Algorithm for Learning with Symbolic Features,
Machine Learning, 10:1, 57-78 (1993).
J. Rachlin, S. Kasif, S. Salzberg, and D. Aha. Towards a Better
Understanding of Memory-Based and Bayesian Classifiers. {\it
Proceedings of the Eleventh International Conference on Machine
Learning} (pp. 242--250). New Brunswick, NJ, July 1994, Morgan
Kaufmann Publishers.
Last Web update on Mon Feb 13 10:24:34 1995
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