% This is the bibliography of
%
% `Pattern Recognition and Neural Networks' by B.D. Ripley
% Cambridge University Press 1996 0-521-46086-7.
%
% This file is converted from the database used for the 1997
% second printing
%
% Copyright 1996 B.D. Ripley.
% All uses must carry this notice.
%
%
@String{NNset = "[Reprinted in \cite{Dasarathy.91}]"}
@String{MLset = "[Reprinted in \cite{Shavlik.Dietterich.90}]"}
@String{URset = "[Reprinted in \cite{Shafer.Pearl.90}]"}
@String{rep-Lau = "[Reprinted in \cite{Lau.92}]"}
@String{AnnMathStat = "Annals of Mathematical Statistics"}
@String{AnnStat = "Annals of Statistics"}
@String{ApplStat = "Applied Statistics"}
@String{AI = "Artificial Intelligence"}
@String{AuRC = "Automation and Remote Control"}
@String{BioCyb = "Biological Cybernetics"}
@String{Biom = "Biometrics"}
@String{Bka = "Biometrika"}
@String{CSDA = "Computational Statistics and Data Analysis"}
@String{CSTM = "Communications in Statistics---Theory and Methods"}
@String{CMwA = "Computers and Mathematics with Applications"}
@String{ComSys = "Complex Systems"}
@String{IEEC = "IEEE Transactions on Electronic Computers"}
@String{IEC = "IEEE Transactions on Computers"}
@String{IEIT = "IEEE Transactions on Information Theory"}
@String{InfoComp = "Information and Computation"}
@String{IJNS = "International Journal of Neural Systems"}
@String{IJPRAI = "International Journal of Pattern Recognition and Artificial Intelligence"}
@String{ISR = "International Statistical Review"}
@String{JASA = "Journal of the American Statistical Association"}
@String{JCGS = "Journal of Computational and Graphical Statistics"}
@String{JRSSA = "Journal of the Royal Statistical Society series A"}
@String{JRSSB = "Journal of the Royal Statistical Society series B"}
@String{ML = "Machine Learning"}
@String{MathProg = "Mathematical Programming"}
@String{Nat = "Nature"}
@String{Nks = "Networks"}
@String{NC = "Neural Computation"}
@String{NNks = "Neural Networks"}
@String{PIEEE = "Proceedings of the IEEE"}
@String{PNAS = "Proceedings of the National Academy of Sciences of the USA"}
@String{PR = "Pattern Recognition"}
@String{PRL = "Pattern Recognition Letters"}
@String{Psym = "Psychometrika"}
@String{SMC = "IEEE Transactions on Systems, Man and Cybernetics"}
@String{PAMI = "IEEE Transactions on Pattern Analysis and Machine Intelligence"}
@String{SIAMSSC = "SIAM Journal on Scientific and Statistical Computing"}
@String{StatComp = "Statistics and Computing"}
@String{StatSci = "Statistical Science"}
@String{Techno = "Technometrics"}
@String{TNN = "IEEE Transactions on Neural Networks"}
@String{TOMS = "ACM Transactions on Mathematical Software"}
@String{PRNNref = "Reference from PRNN"}
@String{PRNNunref = "Unchecked reference from PRNN"}
@String{MK = "Morgan Kaufmann"}
@String{Wiley = "Wiley"}
@String{Springer = "Springer"}
@Book{Ripley.96,
author = "B. D. Ripley",
title = "Pattern Recognition and Neural Networks",
publisher = "Cambridge University Press",
address = "Cambridge",
year = "1996",
ISBN = "0-521-46086-7",
comment = PRNNref,
}
@Book{Aarts.Korst.89,
author = "E. Aarts and J. Korst",
title = "Simulated Annealing and Boltzmann Machines",
publisher = Wiley,
address = "New York",
year = "1989",
comment = PRNNref,
}
@Book{Abramowitz.Stegun.65,
author = "M. Abramowitz and I. A. Stegun",
title = "Handbook of Mathematical Functions with Formulas,
Graphs and Mathematical Tables",
publisher = "Dover",
address = "New York",
year = "1965",
comment = PRNNref,
}
@Article{Abu-Mostafa.89,
author = "Y. S. Abu-Mostafa",
title = "{The Vapnik--Chervonenkis dimension: information
versus complexity in learning}",
journal = NC,
volume = "1",
pages = "312--317",
year = "1989",
comment = PRNNref,
}
@Article{Abu-Mostafa.90,
author = "Y. S. Abu-Mostafa",
title = "Learning from hints in neural networks",
journal = "Journal of Complexity",
volume = "6",
pages = "192--198",
year = "1990",
comment = PRNNref,
}
@InProceedings{Abu-Mostafa.93,
author = "Y. S. Abu-Mostafa",
title = "A method for learning from hints",
crossref = "NIPS5",
pages = "73--80",
year = "1993",
comment = PRNNref,
}
@InProceedings{Abu-Mostafa.95a,
author = "Y. S. Abu-Mostafa",
editor = "A.-P. Refenes",
booktitle = "Neural Networks in the Capital Markets",
title = "Financial market applications of learning from hints",
publisher = Wiley,
address = "Chichester",
pages = "221--232",
year = "1995",
comment = PRNNref,
}
@Article{Abu-Mostafa.95b,
author = "Y. S. Abu-Mostafa",
title = "Machines that learn from hints",
journal = "Scientific American",
volume = "272",
number = "4",
pages = "64--69",
year = "1995",
comment = PRNNref,
}
@Article{Abu-Mostafa.95c,
author = "Y. S. Abu-Mostafa",
title = "Hints",
journal = NC,
volume = "7",
pages = "639--671",
year = "1995",
comment = PRNNref,
}
@Article{Ackley.ZZ.85,
author = "D. H. Ackley and G. E. Hinton and T. J. Sejnowski",
title = "A learning algorithm for {Boltzmann} machines",
journal = "Cognitive Science",
volume = "9",
pages = "147--169",
year = "1985",
note = "[Reprinted in \cite{Anderson.Rosenfeld.88}]",
comment = PRNNref,
}
@InProceedings{Agosta.90,
author = "J. M. Agosta",
editor = "R. D. Shachter and T. S. Levitt and L. N. Kanal and J.
F. Lemmer",
booktitle = "Uncertainty in Artificial Intelligence 4",
title = "The structure of {Bayes} networks for visual
recognition",
publisher = "North Holland",
address = "Amsterdam",
pages = "397--405",
year = "1990",
comment = PRNNref,
}
@Book{Agrawala.77,
editor = "A. K. Agrawala",
title = "Machine Recognition of Patterns",
publisher = "IEEE Press",
address = "New York",
year = "1977",
comment = PRNNunref,
}
@Article{Aitchison.Aitken.76,
author = "J. Aitchison and C. G. G. Aitken",
title = "Multivariate binary discrimination by the kernel
method",
journal = Bka,
volume = "63",
pages = "413--420",
year = "1976",
comment = PRNNref,
}
@Book{Aitchison.Dunsmore.75,
author = "J. Aitchison and I. R. Dunsmore",
title = "Statistical Prediction Analysis",
publisher = "Cambridge University Press",
address = "Cambridge",
year = "1975",
comment = PRNNref,
}
@Article{Aitchison.ZZ.77,
author = "J. Aitchison and J. D. F. Habbema and J. W. Kay",
title = "A critical comparison of two methods of statistical
discrimination",
journal = ApplStat,
volume = "26",
pages = "15--25",
year = "1977",
comment = PRNNref,
}
@InProceedings{Aitken.78,
author = "C. G. G. Aitken",
editor = "L. C. A. Corsten and J. Hermans.",
booktitle = "Proceedings of COMPSTAT 1978",
title = "Methods of discrimination in multivariate binary
data",
publisher = "Physica-Verlag",
address = "Vienna",
pages = "155--161",
year = "1978",
comment = PRNNref,
}
@Article{Aitken.83,
author = "C. G. G. Aitken",
title = "Kernel methods for the estimation of discrete
distributions",
journal = "Journal of Statistical Computation and Simulation",
volume = "16",
pages = "189--200",
year = "1983",
comment = PRNNref,
}
@Article{Aizerman.ZZ.64a,
author = "M. A. Aizerman and E. M. Braverman and L. I.
Rozono\'er",
title = "Theoretical foundations of the potential function
method in pattern recognition learning",
journal = AuRC,
volume = "25",
pages = "821--837",
year = "1964",
comment = PRNNref,
}
@Article{Aizerman.ZZ.64b,
author = "M. A. Aizerman and E. M. Braverman and L. I.
Rozono\'er",
title = "The probability problem of pattern recognition
learning and the method of potential functions",
journal = AuRC,
volume = "25",
pages = "1175--1190",
year = "1964",
comment = PRNNref,
}
@Article{Aizerman.ZZ.65,
author = "M. A. Aizerman and E. M. Braverman and L. I.
Rozono\'er",
title = "The {Robbins--Munro} process and the method of
potential functions",
journal = AuRC,
volume = "26",
pages = "1882--1885",
year = "1965",
comment = PRNNref,
}
@InProceedings{Akaike.73,
author = "H. Akaike",
editor = "B. N. Petrov and F. C\'aski",
booktitle = "Second International Symposium on Information Theory",
title = "Information theory and an extension of the maximum
likelihood principle",
publisher = "Akademiai Kaid\'o",
address = "Budapest",
pages = "267--281",
year = "1973",
note = "Reprinted in \emph{Breakthroughs in Statistics}, eds
Kotz, S. \& Johnson, N. L. (1992), volume I,
pp.~599--624. New York: Springer.",
comment = PRNNunref,
}
@Article{Akaike.74,
author = "H. Akaike",
title = "A new look at statistical model identification",
journal = "IEEE Transactions on Automatic Control",
volume = "19",
pages = "716--723",
year = "1974",
comment = PRNNref,
}
@InProceedings{Akaike.77,
author = "H. Akaike",
editor = "P. R. Krishnaiah",
booktitle = "Applications of Statistics",
title = "On entropy maximization principle",
publisher = "North-Holland",
address = "Amsterdam",
pages = "27--42",
year = "1977",
comment = PRNNref,
}
@Article{Akaike.78,
author = "H. Akaike",
title = "{A Bayesian analysis of the minimum AIC procedure}",
journal = "Annals of the Institute of Statistical Mathematics",
volume = "30A",
pages = "9--14",
year = "1978",
comment = PRNNunref,
}
@InProceedings{Akaike.85,
author = "H. Akaike",
editor = "A. C. Atkinson and S. E. Fienberg",
booktitle = "A Celebration of Statistics. The ISI Centenary
Volume",
title = "Prediction and entropy",
publisher = Springer,
address = "New York",
pages = "1--24",
year = "1985",
comment = PRNNref,
}
@Article{Albert.Anderson.84,
author = "A. Albert and J. A. Anderson",
title = "On the existence of maximum likelihood estimates in
logistic regression models",
journal = Bka,
volume = "71",
pages = "1--10",
year = "1984",
comment = PRNNref,
}
@Article{Albert.Lesaffre.86,
author = "A. Albert and E. Lesaffre",
title = "Multiple group logistic discrimination",
journal = CMwA,
volume = "12A",
pages = "209--224",
year = "1986",
comment = PRNNref,
}
@InProceedings{Albertini.ZZ.93,
author = "F. Albertini and E. D. Sontag and V. Maillot",
title = "Uniqueness of weights for neural networks",
crossref = "Mammone.93",
pages = "115--125",
year = "1993",
comment = PRNNref,
}
@Book{Aleksander.Morton.90,
author = "I. Aleksander and H. Morton",
title = "An Introduction to Neural Computing",
publisher = "Chapman \& Hall",
address = "London",
year = "1990",
comment = PRNNref,
}
@Article{Alexander.84,
author = "K. S. Alexander",
title = "Probability inequalities for empirical processes and a
law of the iterated logarithm",
journal = "Annals of Probability",
volume = "12",
pages = "1041--1067",
year = "1984",
comment = PRNNref,
}
@Book{Almond.95,
author = "R. G. Almond",
title = "Graphical Belief Modeling",
publisher = "Chapman \& Hall",
address = "London",
year = "1995",
ISBN = "0-412-06661-0",
comment = PRNNref,
}
@Article{Amari.67,
author = "S.-I. Amari",
title = "A theory of adaptive pattern classifiers",
journal = IEEC,
volume = "16",
pages = "299--307",
year = "1967",
comment = PRNNref,
}
@InProceedings{Amari.93,
author = "S.-I. Amari",
editor = "O. E. Barndorff-Nielsen and J. L. Jensen and W. S.
Kendall",
booktitle = "Networks and Chaos---Statistical and Probabilistic
Aspects",
title = "Mathematical methods of neurocomputing",
publisher = "Chapman \& Hall",
address = "London",
pages = "1--39",
year = "1993",
comment = PRNNref,
}
@Book{Amit.89,
author = "D. J. Amit",
title = "Modeling Brain Function. The World of Attractor Neural
Networks",
publisher = "Cambridge University Press",
address = "Cambridge",
year = "1989",
comment = PRNNref,
}
@Book{Anderberg.73,
author = "M. R. Anderberg",
title = "Cluster Analysis for Applications",
publisher = "Academic Press",
address = "New York",
year = "1973",
comment = PRNNunref,
}
@InProceedings{Andersen.ZZ.89,
author = "S. K. Andersen and K. G. Olesen and F. V. Jensen and
F. Jensen",
editor = "N. Sridharan",
booktitle = "Proceedings of the 11th International Joint Conference
on Artificial Intelligence (Detroit, MI, 1989)",
title = "{HUGIN}---a shell for building {Bayesian} belief
universes for expert systems",
publisher = MK,
address = "San Mateo, CA",
pages = "1080--1085",
year = "1989",
note = URset,
comment = PRNNref,
}
@Article{Anderson.72,
author = "J. A. Anderson",
title = "Separate sample logistic discrimination",
journal = Bka,
volume = "59",
pages = "19--35",
year = "1972",
comment = PRNNref,
}
@InProceedings{Anderson.82,
author = "J. A. Anderson",
editor = "P. R. Krishnaiah and L. N. Kanal",
booktitle = "Handbook of Statistics 2: Classification, Pattern
Recognition and Reduction of Dimensionality",
title = "Logistic discrimination",
publisher = "North Holland",
address = "Amsterdam",
pages = "169--191",
year = "1982",
comment = PRNNref,
}
@Book{Anderson.84,
author = "T. W. Anderson",
title = "An Introduction to Multivariate Statistical Analysis",
publisher = Wiley,
address = "New York",
edition = "Second",
year = "1984",
comment = PRNNref,
}
@Article{Anderson.Bahadur.62,
author = "T. W. Anderson and R. R. Bahadur",
title = "Classi\-fication into two multivariate normal
distributions with different covariance matrices",
journal = AnnMathStat,
volume = "33",
pages = "420--431",
year = "1962",
comment = PRNNref,
}
@Article{Anderson.Phillips.81,
author = "J. A. Anderson and P. R. Phillips",
title = "Regression, discrimination and measurement models for
ordered categorical variables",
journal = ApplStat,
volume = "30",
pages = "22--31",
year = "1981",
comment = PRNNref,
}
@Book{Anderson.Rosenfeld.88,
editor = "J. A. Anderson and E. Rosenfeld",
title = "Neurocomputing: Foundations of Research",
publisher = "The MIT Press",
address = "Cambridge, MA",
year = "1988",
ISBN = "0-262-01097-6",
comment = PRNNref,
}
@Book{Anderson.ZZ.90,
editor = "J. A. Anderson and A. Pellionisz and E. Rosenfeld",
title = "Neurocomputing 2: Directions for Research",
publisher = "The MIT Press",
address = "Cambridge, MA",
year = "1990",
ISBN = "0-262-01119-0",
comment = PRNNref,
}
@Article{Andreassen.ZZ.91,
author = "S. Andreassen and F. V. Jensen and K. G. Olesen",
title = "Medical expert systems based on causal probabilistic
networks",
journal = "International Journal of Bio-medical Computing",
volume = "28",
pages = "1--30",
year = "1991",
comment = PRNNref,
}
@Article{Angluin.88,
author = "D. Angluin",
title = "Queries and concept learning",
journal = ML,
volume = "2",
pages = "319--342",
year = "1988",
comment = PRNNref,
}
@InProceedings{Angluin.93,
author = "D. Angluin",
editor = "E. B. Baum",
booktitle = "Computational Learning and Cognition",
title = "Learning with queries",
publisher = "SIAM",
address = "Philadelphia",
pages = "1--28",
year = "1993",
comment = PRNNref,
}
@Article{Angulin.87,
author = "D. Angulin",
title = "Learning regular sets from queries and
counterexamples",
journal = InfoComp,
volume = "75",
pages = "87--106",
year = "1987",
comment = PRNNref,
}
@Article{Angluin.Valiant.79,
author = "D. Angluin and L. G. Valiant",
title = "Fast probabilistic algorithms for {Hamiltonian} circuits
and matchings",
journal = "Journal of Computer and System Sciences",
volume = "18",
pages = "155--193",
year = "1979",
comment = PRNNref,
}
@Book{Anthony.Biggs.92,
author = "M. Anthony and N. Biggs",
title = "Computational Learning Theory: An Introduction",
publisher = "Cambridge University Press",
address = "Cambridge",
year = "1992",
comment = PRNNref,
}
@Article{Anthony.Shawe-Taylor.93,
author = "M. Anthony and J. Shawe-Taylor",
title = "A result of {Vapnik} with applications",
journal = "Discrete Applied Mathematics",
volume = "47",
pages = "207--217",
year = "1993",
note = "[Erratum (1994) \textbf{52}, 211 (the proof of theorem
2.1 is corrected)]",
comment = PRNNref,
}
@Article{Apolloni.Falco.91,
author = "B. Apolloni and D. de Falco",
title = "Learning by asymmetric parallel {Boltzmann} Machines",
journal = NC,
volume = "3",
pages = "402--408",
year = "1991",
comment = PRNNref,
}
@Book{Arbib.95,
editor = "M. A. Arbib",
booktitle = "The Handbook of Brain Theory and Neural Networks",
title = "The Handbook of Brain Theory and Neural Networks",
publisher = "MIT Press",
address = "Cambridge, MA",
year = "1995",
ISBN = "0-262-01148-4",
comment = PRNNref,
}
@Article{Argentiero.ZZ.82,
author = "P. Argentiero and R. Chin and P. Beaudet",
title = "An automated approach to the design of decision tree
classifiers",
journal = PAMI,
volume = "4",
pages = "51--57",
year = "1982",
comment = PRNNref,
}
@Book{Arkedev.Braverman.66,
author = "A. G. Arkedev and E. M. Braverman",
title = "Computers and Pattern Recognition",
publisher = "Thompson",
address = "Washington, DC",
year = "1966",
comment = PRNNunref,
}
@Article{Ash.89,
author = "T. Ash",
title = "Dynamic mode creation in backpropagation neural
networks",
journal = "Connection Science: Journal of Neural Computing,
Artificial Intelligence and Cognitive Research",
volume = "1",
pages = "365--375",
year = "1989",
comment = PRNNref,
}
@Article{Asimov.85,
author = "D. Asimov",
title = "The grand tour: {A} tool for viewing multidimensional
data",
journal = SIAMSSC,
volume = "6",
pages = "128--143",
year = "1985",
comment = PRNNref,
}
@Article{Assouad.83,
author = "P. Assouad",
title = "Densit\'e et dimension",
journal = "Annales de l'Institut Fourier Grenoble",
volume = "33",
pages = "233--282",
year = "1983",
comment = PRNNref,
}
@Article{Averintsev.75,
author = "M. V. Averintsev",
title = "{Gibbs} description of random fields whose conditional
probabilities may vanish",
journal = "Problemy Peredaci Informatsii",
volume = "11",
pages = "86--96",
year = "1975",
comment = PRNNunref,
}
@Article{Baba.ZZ.94,
author = "N. Baba and Y. Mogami and M. Kohzaki and Y. Shiraishi
and Y. Yoshida",
title = "A hybrid algorithm for finding the global minimum of
error function of neural networks and its
applications",
journal = NNks,
volume = "7",
pages = "1253--1265",
year = "1994",
comment = PRNNref,
}
@InProceedings{Bahadur.61a,
author = "R. R. Bahadur",
editor = "H. Solomon",
booktitle = "Studies in Item Analysis and Prediction",
title = "A representation of the joint distribution of
responses to $n$ dichotomous items",
publisher = "Stanford University Press",
address = "Palo Alto, CA",
pages = "158--167",
year = "1961",
comment = PRNNunref,
}
@InProceedings{Bahadur.61b,
author = "R. R. Bahadur",
editor = "H. Solomon",
booktitle = "Studies in Item Analysis and Prediction",
title = "On classification based on responses to $n$
dichotomous items",
publisher = "Stanford University Press",
address = "Palo Alto, CA",
pages = "169--176",
year = "1961",
comment = PRNNunref,
}
@Article{Bahl.ZZ.89,
author = "L. R. Bahl and P. F. Brown and P. V. de Souza and R.
L. Mercer",
title = "A tree-based statistical language model for natural
language speech recognition",
journal = "IEEE Transactions on Acoustics, Speech and Signal
Processing",
volume = "37",
pages = "1001--1008",
year = "1989",
comment = PRNNref,
}
@Article{Bailey.Jain.78,
author = "T. Bailey and A. K. Jain",
title = "A note on distance-weighted $k$-nearest neighbor
rules",
journal = SMC,
volume = "8",
pages = "311--313",
year = "1978",
comment = PRNNref,
}
@Article{Baird.93,
author = "H. S. Baird",
title = "Recognition technology frontiers",
journal = PRL,
volume = "14",
pages = "327--334",
year = "1993",
comment = PRNNref,
}
@Article{Baldi.Hornik.89,
author = "P. Baldi and K. Hornik",
title = "Neural networks and principal components analysis:
learning from examples without local minima",
journal = NNks,
volume = "2",
pages = "53--58",
year = "1989",
note = "[Reprinted in \cite{Anderson.ZZ.90}]",
comment = PRNNref,
}
@InProceedings{Ball.65,
author = "G. B. Ball",
booktitle = "Proceedings of the Fall Joint Computing Conference",
title = "Data analysis in the social sciences: What about the
details?",
publisher = "Spartan Books",
address = "Washington, DC",
pages = "533--559",
year = "1965",
comment = PRNNunref,
}
@Article{Banfield.Raftery.93,
author = "J. D. Banfield and A. E. Raftery",
title = "Model-based {Gaussian} and non-{Gaussian} clustering",
journal = Biom,
volume = "49",
pages = "803--821",
year = "1993",
comment = PRNNref,
}
@Book{Barlow.ZZ.72,
author = "R. E. Barlow and D. Bartholomew and J. E. Bremner and
H. M. Brunk",
title = "Statistical Inference under Order Restrictions. The
Theory and Application of Isotonic Regression",
publisher = Wiley,
address = "London",
year = "1972",
comment = PRNNref,
}
@InProceedings{Barron.90,
author = "A. R. Barron",
editor = "G. Roussas",
booktitle = "Nonparametric Functional Estimation and Related
Topics",
title = "Complexity regularization with application to
artificial neural networks",
publisher = "Kluwer Academic Publishers",
address = "Dordrecht",
pages = "561--576",
year = "1990",
comment = PRNNref,
}
@Article{Barron.93,
author = "A. R. Barron",
title = "Universal approximation bounds for superpositions of a
sigmoid function",
journal = IEIT,
volume = "39",
pages = "930--945",
year = "1993",
comment = PRNNref,
}
@Article{Barron.94,
author = "A. R. Barron",
title = "Approximation and estimation bounds for artificial
neural networks",
journal = ML,
volume = "14",
pages = "115--133",
year = "1994",
comment = PRNNref,
}
@Article{Barron.Cover.91,
author = "A. R. Barron and T. M. Cover",
title = "Minimum complexity density estimation",
journal = IEIT,
volume = "37",
pages = "1034--1054",
year = "1991",
comment = PRNNref,
}
@Article{Barry.86,
author = "D. Barry",
title = "Nonparametric {Bayesian} regression",
journal = AnnStat,
volume = "14",
pages = "934--953",
year = "1986",
comment = PRNNref,
}
@Article{Bartlett.93,
author = "P. L. Bartlett",
title = "{Vapnik--Chervonenkis} dimension bounds for two- and
three-layer networks",
journal = NC,
volume = "5",
pages = "371--373",
year = "1993",
comment = PRNNref,
}
@Article{Bartlett.Williamson.96,
author = "P. L. Bartlett and R. C. Williamson",
title = "The {VC} dimension and pseudodimension of two-layer
neural networks with discrete inputs",
journal = NC,
volume = "8",
number = "3",
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