Institute of Computer Science Pattern Recognition and Bioinformatics

mk.bib

@ARTICLE{Burges98:svmtutorial,
  AUTHOR = {Christopher J. C. Burges},
  TITLE = {A Tutorial on Support Vector Machines for Pattern Recognition},
  JOURNAL = {Data Mining and Knowledge Discovery},
  VOLUME = {2},
  NUMBER = {2},
  PAGES = {121-167},
  YEAR = {1998},
  URL = {Burges98.ps}
}

@BOOK{Fink03:habil,
  AUTHOR = {Fink, Gernot A.},
  TITLE = {{Mustererkennung mit Markov-Modellen}},
  PUBLISHER = {B. G. Teubner},
  ADDRESS = {Stuttgart -- Leipzig -- Wiesbaden},
  SERIES = {Leitf{\"a}den der Informatik},
  YEAR = {2003}
}

@ARTICLE{geman84:geman,
  AUTHOR = {Geman, S.  and  Geman, D.},
  YEAR = {1984},
  PUBLISHER = {IEEE},
  JOURNAL = {Trans. on Pattern Analysis and Machine Intelligence (PAMI)},
  KEYWORDS = {markov random field},
  PAGES = {721--741},
  TITLE = {Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images},
  VOLUME = {6}
}

@BOOK{Haykin94,
  AUTHOR = {Simon Haykin},
  TITLE = {Neural Networks: A Comprehensive Foundation},
  YEAR = {1999},
  PUBLISHER = {Macmillan},
  ADDRESS = {New York}
}

@BOOK{Li95,
  AUTHOR = {S.Z. Li},
  TITLE = {Markov Random Field Modeling in Computer Vision},
  YEAR = {1995},
  PUBLISHER = {Springer},
  ADRESS = {Tokyo}
}

@BOOK{Niemann83,
  AUTHOR = {Niemann, Heinrich},
  ADDRESS = {Berlin},
  YEAR = {1983},
  PUBLISHER = {Springer},
  TITLE = {Klassifikation von Mustern},
  URL = {http://www5.informatik.uni-erlangen.de/Personen/niemann/klassifikation-von-mustern/m00links.html?language=en}
}

@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
}

@BOOK{Schuermann96,
  AUTHOR = {J{\"u}rgen Sch{\"u}rmann},
  TITLE = {Pattern Classification, A unified view of statistical and neural approaches},
  PUBLISHER = {Wiley-International},
  CITY = {New York},
  YEAR = {1996}
}

@ARTICLE{Brunak91:JMB,
  AUTHOR = {S{\o}ren Brunak and Jacob Engelbrecht and Steen Knudsen},
  TITLE = {Prediction of human m{RNA} donor and acceptor sites from the {DNA} sequence},
  JOURNAL = {Journal Molecular Biology},
  YEAR = {1991},
  VOLUME = {220},
  PAGES = {49-65},
  SIGNATURE = {kopie, \#627},
  KEYWORDS = {bioinformatics, gene prediction},
  URL = {file:///home/posch/opub/Bioinf/AdB/brunak91prediction.ps}
}

@ARTICLE{qian-sejnowski-88,
  TITLE = {Predicting the secondary structure of globular proteins using neural network models},
  AUTHOR = {Qian, N. and Sejnowski, T. J.},
  YEAR = {1988},
  JOURNAL = {Journal of Molecular Biology},
  VOLUME = {202},
  PAGES = {865-884},
  ANNOTE = { The best existing method for predicting the secondary structure
of a globular protein is a neural network:
Results also indicate that only marginal improvements
on our performance will be possible with local methods.
Tertiary (3-D) structure is a much more difficult problem
for which there are no good methods.},
  URL = {http://scholar.google.com/url?sa=U&q=http://papers.cnl.salk.edu/PDFs/Predicting%2520the%2520Secondary%2520Structure%2520of%2520Globular%2520Proteins%2520Using%2520Neural%2520Network%2520Models%25201988-3749.pdf}
}

@ARTICLE{riis96:krogh:improving,
  AUTHOR = {Soren Riis and Anders Krogh},
  TITLE = {Improving prediction of protein secondary structure using structured neural networks and multiple sequence alignments},
  JOURNAL = {Journal of Computational Biology},
  VOL = {3},
  PAGES = {163-183},
  YEAR = {1996},
  URL = {http://citeseer.ist.psu.edu/1174.html}
}

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