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author={S. Kirkpatrick and C.D. Gelatt and M.P. Vecchi},
title={Optimization by simulated annealing},
journal={Science},
volume=220,
pages={671-680},
year=1983
}
@Article{GoH88,
author = {David E. Goldberg and John H. Holland},
journal = mlj,
month = oct,
number = {2,3},
pages = {95-99},
title = {Genetic algorithms and machine learning},
volume = {3},
year = {1988}
}
@Article{Gre88a,
author = {J.J. Grefenstette},
journal = mlj,
month = oct,
number = {2,3},
pages = {225-245},
title = {Credit assignment in rule discovery systems based
on genetic algorithms},
volume = {3},
year = {1988},
keywords = "Classifier systems, bucket brigade algorithm"
}
@Article{GSB88,
author = {Russell Greiner and Bernard Silver and Sue Becker
and Michael Gr\"uninger},
journal = mlj,
month = aug,
number = {1},
pages = {79-92},
title = {A review of machine learning at AAAI-87},
volume = {3},
year = {1988}
}
@Article{HaB89,
author = {Stephen Jos\'e Hanson and Malcolm Bauer},
journal = mlj,
month = mar,
number = {4},
pages = {343-372},
title = {Conceptual clustering, categorization and polymorhy},
volume = {3},
year = {1989},
keywords = "Correlation, knowledge structures, coherence, WITT"
}
@Article{Hal88a,
author = {Robert J. Hall},
journal = mlj,
month = aug,
number = {1},
pages = {45-77},
title = {Learning by failing to explain: Using partial
explanations to learn in incomplete or intractable domains},
volume = {3},
year = {1988},
keywords = "Explanation-based learning, graph grammar,
design, LPARSIFAL, SIERRA, LAS, OCCAM"
}
@Article{Hau88,
author = {David Haussler},
journal = mlj,
month = apr,
number = {4},
pages = {281-284},
title = {Guest editorial: New theoretical directions in
machine learning},
volume = {2},
year = {1988}
}
@Article{Iba89,
author = {Glenn A. Iba},
journal = mlj,
month = mar,
number = {4},
pages = {285-317},
title = {A heuristic approach to the discovery of
macro-operators},
volume = {3},
year = {1989},
keywords = "Macro operators, search, problem solving,
composition, empirical learning MACLEARN"
}
@Article{Jon88,
author = {Kenneth de Jong},
journal = mlj,
month = oct,
number = {2,3},
pages = {121-138},
title = {Learning with genetic algorithms: An overview},
volume = {3},
year = {1988},
keywords = "Genetic algorithms, competition-based learning,
learning task programs, classifier systems"
}
@Article{Lan86,
author = {Pat Langley},
journal = mlj,
number = {1},
pages = {5-10},
title = {On Machine Learning},
volume = {1},
year = {1986}
}
@Article{Lan86a,
author = {P. Langley},
journal = mlj,
number = {2},
title = {Editorial: The terminology of machine learning},
volume = {1},
year = {1986}
}
@Article{Lan87a,
author = {Pat Langley},
journal = mlj,
month = nov,
number = {3},
pages = {195-198},
title = {Editorial: Research papers in machine learning},
volume = {2},
year = {1987}
}
@Article{Lan88,
author = {Pat Langley},
journal = mlj,
month = aug,
number = {1},
pages = {5-8},
title = {Editorial: Machine learning as an experimental
science},
volume = {3},
year = {1988}
}
@Article{Lan89,
author = {Pat Langley},
journal = mlj,
month = mar,
number = {4},
pages = {253-259},
title = {Editorial: Toward a unified science of machine
learning},
volume = {3},
year = {1989}
}
@Article{Leb87,
author = {Michael Lebowitz},
journal = mlj,
month = sep,
number = {2},
pages = {103-138},
title = {Experiments with incremental concept formation:
UNIMEM},
volume = {2},
year = {1987},
annote = {This article seems to be very relevant to my own
Thesis work. I should follow up Lebowitz's work.},
keywords = "Frames, generalization-based memory, learning by
observation, clustering of universities"
}
@Article{Lit88,
author = {Nick Littlestone},
journal = mlj,
month = apr,
number = {4},
pages = {285-318},
title = {Learning quickliy when irrelevant attributes
abound: A new linear-threshold algorithm},
volume = {2},
year = {1988}
}
@Article{LRN86,
author = {John E. Laird and Paul S. Rosenbloom and Allen
Newell},
journal = mlj,
number = {1},
pages = {11-46},
title = {Chunking in Soar: The anatomy of a general learning
mechanism},
volume = {1},
year = {1986},
keywords = "Learning from experience, general learning
mechanisms, problem solving chunking, production systems,
macro-operators, transfer"
}
@Article{Min89,
author = {John Mingers},
journal = mlj,
number = {4},
pages = {319-342},
title = {An empirical comparison of selection measures for
decision tree induction},
volume = {3},
year = {1989},
annote = {The conclusion is that the choice of measures for
choosing attributes affects the size of an induced
decision tree, but not its accuracy.},
keywords = "Decision trees, knowledge acquisition, induction,
noisy data, ID3"
}
@article{MKK86,
author = {Tom M. Mitchell and Richard M. Keller and Smadar T.
Kedar-Cabelli},
journal = mlj,
number = {1},
pages = {47-80},
title = {Explanation-based generalization: A unifying view},
volume = {1},
year = {1986},
keywords = "explanation-based learning, goal regression,
constraint back propogation, operationalization,
similarity-based generalization"
}
@Article{PiR88,
author = {Leonard Pitt and Robert E. Reinke},
journal = mlj,
month = apr,
number = {4},
pages = {371-396},
title = {Criteria for polynomial-time (conceptual)
clustering.},
volume = {2},
year = {1988},
keywords = "Cluster analysis, conceptual clustering, analysis
of algorithms"
}
@Article{Qui86a,
author = {J. R. Quinlan},
journal = mlj,
number = {1},
pages = {81-106},
title = {Induction of decision trees},
volume = {1},
year = {1986},
annote = {(Also NSWIT Technical Report 85.6)},
keywords = "Classificiation, induction, decision trees,
information theory, knowledge acquisition, expert systems"
}
@Article{Ren86,
author = {Larry Rendell},
journal = mlj,
number = {2},
title = {A general framework for induction and a study of
selective induction},
volume = {1},
year = {1986}
}
@Article{Riv87a,
author = {Ronald L. Rivest},
journal = mlj,
month = nov,
number = {3},
pages = {229-246},
title = {Learning decision lists},
volume = {2},
year = {1987},
keywords = "Learning from examples, decision lists, Boolean
formulae, polynomial-time identification"
}
@Article{RoR88,
author = {George G. Robertson and Rick L. Riolo},
journal = mlj,
month = oct,
number = {2,3},
pages = {139-159},
title = {A tale of two classifier systems},
volume = {3},
year = {1988},
keywords = "Classifier systems, genetic algorithms,
parallelism, sequence prediction"
}
@Article{Shr87,
author = {Jeff Shrager},
journal = mlj,
month = nov,
number = {3},
pages = {247-276},
title = {Theory change via view application in
instructionless learning},
volume = {2},
year = {1987},
keywords = "Cognitive modelling, induction, conceptual
combination, theory formation, categorization, analogy,
device model learning"
}
@Article{Sut88,
author = {Richard S. Sutton},
journal = mlj,
month = aug,
number = {1},
pages = {9-44},
title = {Learning to predict by the methods of temporal
differences},
volume = {3},
year = {1988},
keywords = "Incremental learning, prediction, connectionism,
credit assignment, evaluation functions"
}
@Article{Wil87c,
author = {Stewart W. Wilson},
journal = mlj,
month = nov,
number = {3},
pages = {199-228},
title = {Classifier systems and the animat problem},
volume = {2},
year = {1987},
keywords = "Classifier systems, incremental learning,
disjunctive concepts, payoff, animal learning, genetic
algorithm"
}
@Article{quinlan.foil:mlj.5.90,
author = {J.R. Quinlan},
title = {Learning logical definitions from relations},
journal = mlj,
volume = 5,
number = 3,
month = aug,
year = 1990,
pages = {239--266},
library = {gjw}
}
@Article{rendell.cho:mlj.5.90,
author = {Larry Rendell and Howard Cho},
title = {Empirical learning as a function of concept
character},
journal = mlj,
year = 1990,
volume = 5,
number = 3,
pages = {267--298},
month = aug,
library = {gjw},
authoraddr = {Department of Computer Science, University of
Illinois at Urbana-Champaign}
}
@Article{tambe.newell.rosenbloom:mlj.5.90,
author = {Milind Tambe and Allen Newell and Paul S.
Rosenbloom},
title = {The problem of expensive chunks and its solution by
restructuring expressions},
journal = mlj,
year = 1990,
volume = 5,
number = 3,
pages = {299--348},
month = aug,
library = {gjw}
}
@Article{GMS91rm,
author = {Roberto Gemello and Franco Mana and Lenza Saitta},
journal = mlj,
month = jan,
number = {1},
pages = {7-35},
title = {Rigel: An inductive learning system},
volume = {6},
year = {1991},
library = "gjw",
keywords = "Inductive learning, specialisation,
generalisation, integrated learning, Rigel, Induce, AQ",
summary = "RIGEL develops upon Michalski's INDUCE by
introducing a priori control knowledge. The appendix of
this paper provides a very concise and clear description
of the AQ and Induce algorithms, including VL. [910424]"
}
@Article{AKA91is,
author = {David W. Aha and Dennis Kibler and Marc K. Albert},
journal = mlj,
month = jan,
number = {1},
pages = {37-66},
title = {Instance-based learning algorithms},
volume = {6},
year = {1991},
library = "gjw",
keywords = "Supervised concept learning, incremental
learning, learning theory, noise, similarity"
}
@Article{KoB91ie,
author = {Igor Kononenko and Ivan Bratko},
journal = mlj,
month = jan,
number = {1},
pages = {67-80},
title = {Information-based evaluation criterion for
classifier's performance},
volume = {6},
year = {1991},
library = "gjw"
}
@Article{DeM91an,
author = {R. L\'opez De~M\'antaras},
journal = mlj,
month = jan,
number = {1},
pages = {81-92},
title = {A distance-based attribute selection measure for
decision tree induction},
volume = {6},
year = {1991},
library = "gjw",
keywords = "Distance between partitions, information measures"
}
@Article{Qui91is,
author = {J. R. Quinlan},
journal = mlj,
month = jan,
number = {1},
pages = {93-98},
title = {Improved estimates for the accuracy of small
disjuncts},
volume = {6},
year = {1991},
library = "gjw"
}
@Article{SMT91sn,
author = {Jude W. Shavlik and Raymond J. Mooney and Geoffrey
G. Towell},
journal = mlj,
month = mar,
number = {2},
pages = {111-143},
title = {Symbolic and neural learning algorithms: An
experimental comparison},
volume = {6},
year = {1991},
library = "gjw",
keywords = "Empirical learning, connectionism, neural
networks, inductive learning, ID3, perceptron,
backpropogation"
}
@Article{LaG91as,
author = {Philip Laird and Evan Gamble},
journal = mlj,
month = mar,
number = {2},
pages = {145-160},
title = {A ``PAC'' algorithm for making feature maps},
volume = {6},
year = {1991},
library = "gjw",
keywords = "Topological feature-map, PAC-learning,
probability distribution"
}
@Article{FrS91ls,
author = {Peter W. Frey and David J. Slate},
journal = mlj,
month = mar,
number = {2},
pages = {161-182},
title = {Letter recognition using Holland-style adaptive
classifiers},
volume = {6},
year = {1991},
library = "gjw",
keywords = "Category learning, parallel rule-based systems,
exemplar-based induction, apportionment of credit,
fuzzy-match rule activation"
}
@Article{SER91al,
author = {Alberto Serge and Charles Elkan and Alexander
Russell},
journal = mlj,
month = mar,
number = {2},
pages = {183-195},
title = {A critical look at experimental evaluations of EBL},
volume = {6},
year = {1991},
library = "gjw",
keywords = "Explanation-based learning, speedup learning,
performance measures"
}
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author = {Roland J. Zito-Wolf},
journal = mlj,
month = mar,
number = {2},
pages = {197-204},
title = {Book review: Learning search control knowledge: An
explanation-based approach, by Steven Minton},
volume = {6},
year = {1991},
library = "gjw"
}
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pages={115-121},
publisher={Morgan Kaufmann Publishers},
month=jul,
year=1991
}
@inproceedings{Manderick91,
author = {Bernard Manderick and Mark de Weger and
Piet Spiessens
},
title={The Genetic Algorithm and the Structure of the
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booktitle={Proceedings of the 4th International Conference
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pages={143-149},
publisher={Morgan Kaufmann Publishers},
month=jul,
year=1991
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