Machine Learning
, Volume 13
Volume 13, 1993
Ming Tan
:
Cost-Sensitive Learning of Classification Knowledge and Its Applications in Robotics.
7-33
Yousri El Fattah
,
Paul O'Rorke
:
Explanation-Based Learning for Diagnosis.
35-70
Geoffrey G. Towell
,
Jude W. Shavlik
:
Extracting Refined Rules from Knowledge-Based Neural Networks.
71-101
Andrew W. Moore
,
Christopher G. Atkeson
:
Prioritized Sweeping: Reinforcement Learning With Less Data and Less Time.
103-130
Ron Kohavi
,
Scott Benson
:
Research Note on Decision Lists.
131-134
Cullen Schaffer
:
Selecting a Classification Method by Cross-Validation.
135-143
Lisa Hellerstein
:
Book Review: "Machine Learning: A Theoretical Approach".
145-149
B. K. Natarajan
:
A Reply to Hellerstein's Book Review of Machine Learning: A Theoretical Approach.
151-152
Kenneth A. De Jong
,
William M. Spears
,
Diana F. Gordon
:
Using Genetic Algorithms for Concept Learning.
161-188
Cezary Z. Janikow
:
A Knowledge-Intensive Genetic Algorithm for Supervised Learning.
189-228
David Perry Greene
,
Stephen F. Smith
:
Competition-Based Induction of Decision Models from Examples.
229-257
Darrell Whitley
:
Genetic Reinforcement Learning for Neurocontrol Problems.
259-284
Stephanie Forrest
,
Melanie Mitchell
:
What Makes a Problem Hard for a Genetic Algorithm? Some Anomalous Results and Their Explanation.
285-319
Last update Sat May 25 20:50:47 2013 CET by the
DBLP Team
—
Data released under the
ODC-BY 1.0 license
— See also our
legal information page