References


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Informative annotations and short summaries are welcome. URLs for on-line sources are especially welcome.

Bayesian Networks and Graphical Models

* [Buntine, 1994]
Available at http://www.cs.washington.edu/research/jair/home.html.
@article(BuntineJAIR-94,
        author = {Buntine, Wray L.},
        title = {Operations for Learning with Graphical Models},
        journal = {Journal of Artificial Intelligence Research},
        volume = {2},
	pages = {159-225},
        year = 1994
)

* [Dean, Allen, & Aloimonos, 1995]
Excerpts on learning and Bayesian networks are available.
@book(DeanAllenandAloimonos95, 
        title = {Artificial Intelligence: Theory and Practice},
        author = {Dean, Thomas and Allen, James and Aloimonos, Yiannis},
        publisher = {Benjamin/Cummings Publishing Company},
        address = {Redwood City, California},
        year = 1995
)

* [Dean & Wellman, 1991]
An excerpt is available.
@book(DeanandWellman91,
        author = {Dean, Thomas and Wellman, Michael},
        title = {Planning and Control},
        publisher = {Morgan Kaufmann},
        address = {San Francisco, California},
        year = 1991
)

* [Cooper & Herskovitz, 1992]
@article(CooperandHerskovitsML-92,
        author = {Cooper, Greg F. and Herskovits, Edward},
        title = {A Bayesian Method for the Induction of Probabilistic Networks from Data},
        journal = {Machine Learning},
        volume = {9},
        year = 1992,
        pages = {309-347}
)

* [Heckerman, 1995]
Available at http://www.research.microsoft.com/research/dtg/heckerma/TR-95-06.htm.
@techreport(HeckermanTR-95,
        author = {Heckerman, David},
        title = {A Tutorial on Learning Bayesian Networks},
        institution = {Microsoft Research},
        number = {MSR-95-06},
        year = 1995
)

* [Lam & Bacchus, 1994]
Available at http://logos.uwaterloo.ca/fbacchus/B-nets.html.
@article(LamandBacchusCIJ-94,
        author = {Lam, Wai and Bacchus, Fahiem},
        title = {Learning Bayesian Belief Networks: An Approach Based on the {MDL} Principle},
        journal = {Computational Intelligence},
        volume = {10},
        number = {4},
        year = 1994
)

* [Russell et al., 1995]
@techreport(RusselletatTR-94,
        author = {Russell, S. J., and Binder, J., and Koller, D.},
        title = {Adaptive Probabilistic Networks},
        institution = {University of California at Berkeley},
        number = {UCB/CSD-94-824},
        year = 1994
)

Hidden Markov Models

* [Rabiner, 1989]
@article(RabinerIEEE-89,
        author = {Rabiner, L. R. },
        title =  {A tutorial on hidden {M}arkov models and selected applications in speech recognition},
        journal = {Proceedings of the IEEE},
        volume = 77,
        number = 2,
        pages = {257-286},
        year = 1989
)

* [Rabiner & Juang, 1986]
@article(RabinerandJuangASSP-86,
        author = {Rabiner, L. R. and Juang, B. H. },
        title =  {An introduction to hidden {M}arkov models},
        journal = {IEEE ASSP Magazine},
        month = {January},
        pages = {4-15},
        year = 1986
)

* [Fraser & Dimitriadis, 1994]
@incollection(FraserandDimitriadis94,
        author = {Fraser, Andrew M.  and  Dimitriadis, Alexis},
        title = {Forecasting Probability Densities by Using Hidden Markov Models with Mixed States},
        booktitle = {Time Series Prediction: Forecasting the Future and Understanding the Past},
        publisher = {Addison-Wesley},
        editor = {Weigend, Andreas S. and Gershenfeld, Neil A.},
        year = 1994
)

* [Charniak, 1993]
@book(Charniak93,
        author = {Charniak, Eugene},
        title = {Statistical Language Learning},
        publisher = {MIT Press},
        address = {Cambridge, Massachusetts},
        year = 1993
)

Delay Coordinate Embedding

* [Sauer, 1994]
@incollection(Sauer94,
        author = {Sauer, Tim},
        title = {Time Series Prediction by Using Delayed Coordinate Embedding},
        booktitle = {Time Series Prediction: Forecasting the Future and Understanding the Past},
        publisher = {Addison-Wesley},
        year = {1994},
        editor = {Weigend, Andreas S. and Gershenfeld, Neil A.},
)

* [Weigend & Gershenfeld, 1994]
@book(WeigendandGershenfeld94,
        author = {Weigend, Andreas S. and Gershenfeld, Neil A.},
        title = {Time Series Prediction: Forecasting the Future and Understanding the Past},
        publisher = {Addison-Wesley},
        address = {Reading, Massachusetts},
        year = 1994
)

The Fourier Transform

* [Bracewell, 1986]
@book(Bracewell86,
        author = {Bracewell, Ron},
        title = {The Fourier Transform and Its Applications},
        publisher = {McGraw-Hill},
        year = {1986},
)

* [Weaver, 1983]
@book(Weaver83,
        author = {Weaver, H. Joseph},
        title = {Applications of Discrete and Continuous Fourier Analysis},
        publisher = {John Wiley \& Sons},
        year = {1983},
)

* [Oppenheim, 1975]
@book(Oppenheim75,
        author = {Oppenheim, Alan V. and Schafer, Ronald W.},
        title = {Digital Signal Processing},
        publisher =  {Prentice-Hall},
        year = {1975},
)

* [Oppenheim, 1989]
@book(Oppenheim89,
        author = {Oppenheim, Alan V. and Schafer, Ronald W.},
        title = {Discrete Time Signal Processing},
        publisher =  {Prentice-Hall},
        year = {1989},
)

Machine Reconstruction

* [Crutchfield & Young, 1990]
Available at http://www.santafe.edu/projects/CompMech/papers/CompOnsetTitlePage.html.
@incollection(CrutchfieldandYoung90,
        author = {Crutchfield, James P. and Young, Karl},
        title = {Computation at the Onset of Chaos}, 
        booktitle = {Complexity, Entropy, and the Physics of Information}, 
        publisher = {Addison-Wesley},
        volume = {8},
        year = {1990},
        pages = {223-268},
        editor = {W.H.Zurek}
)

* [Basye, Dean & Kaelbling, 1995]
Available at ftp://ftp.cs.brown.edu/u/tld/postscript/BasyeDeanandKaelblingAIJ-95.ps.
@article(BasyeetalAIJ-95,
        author = {Basye, Kenneth and Dean, Thomas and Kaelbling, Leslie},
        title = {Learning Dynamics: System Identification for Perceptually Challenged Agents},
        journal = {Artificial Intelligence},
        volume = {72},
        year = 1995
)

* [Rivest & Schapire, 1987]
@inproceedings(RivestandSchapireFOCS-87,
        author = {Rivest, Ronald L. and Robert E. Schapire},
        title = {Diversity-Based Inference of Finite Automata},
        booktitle = {Proceedings of the Twenty Eighth Annual Symposium on Foundations of Computer Science},                     
        pages = {78-87},
        year = 1987
)

Mathematica

* [Wolfram, 1991]
@book(Wolfram91,
        author = {Wolfram, Steven},
        title = {Mathematica: A System for Doing Mathematics by Computer, Second Edition},
        publisher = {Addison-Wesley},
        address = {Reading, Massachusetts},
        year = 1991
)

Stock Market

* [Casti, 1990]
@book(Casti90,
        author = {John L. Casti},
        title = {Searching for Certainty},
        publisher = {William Morrow and Company},
        address = {New York},
        year = 1990
)

* [Fosback, 1993]
@book(Fosback93,
        author = {Fosback, Norman G.},
        title = {Stock Market Logic},
        publisher = {Dearborn Financial Publishing},
        year = 1993
)

* [Kelly, 1994]
Available on line.
@article(Kelly94,
        author = {Kelly, Kevin},
        title = {Cracking Wall Street},
        journal = {Wired Magazine},
        month = July,
        year = 1994     
)

Time Series Analysis and Statistical Techniques

* [Chatfield, 1989]
@book(Chatfield89,
        author = {Chatfield, C.},
        title = {The Analysis of Time Series: An Introduction},
        publisher = {Chapman \& Hall},
        year = 1989
)

* [Geman & Geman, 1984]
@article(GemanandGemanPAMI-84,
        author = {Geman, Stuart and Geman, Donald},
        title = {Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images},
        journal = pami,
        volume = {6},
        year = 1984,
        pages = {721-741}
)

General Issues in Machine Learning

* [Cheeseman, 1995]
@incollection(CheesemanSFI-95,
        author = {Cheeseman, Peter},
        title = {On Bayesian Model Selection},
        booktitle = {The Mathematics of Generalization}, 
        editor = {Wolpert, David H.},
        publisher = {Addison-Wesley},
        year = 1995
)

* [Huber, 1985]
@article(Huber85,
        author = {Peter J. Huber}, 
        title = {Projection Pursuit}, 
        journal = {The Annals of Statistics},
        volume = 13,
        number = 2,
        year = 1985,
        pages = {435-475}
)

* [Rissanen, 1978]
@article(Rissanen78,
        author = {Rissanen, J.},
        title = {Modeling by Shortest Data Description},
        journal = {Automatica},
        volume = {14},
        pages = {445-471},
        year = 1978
)

* [Wolpert, 1995]
@incollection(WolpertSFI-95,
        author = {Wolpert, David H.},
        title = {The Relationship Between {PAC}, the Statistical Physics
                 Framework, the {B}ayesian Framework, and the {VC} Framework},
        booktitle = {The Mathematics of Generalization}, 
        editor = {Wolpert, David H.},
        publisher = {Addison-Wesley},
        year = 1995
)

* [Dempster et al., 1977]
@article(DempsteretalJRSS-77,
        author = {Dempster, A. and Laird, N. and Rubin, D.},
        title = {Maximum likelihood from incomplete data via the {EM} algorithm},
        journal = {Journal of the Royal Statistical Society},
        volume = {39 (Series B)},
        pages = {1-38},
        year = 1977
)


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