Pattern Recognition and Bioinformatics
| Martin-Luther-Universität Halle |
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Institute of Computer Science
Pattern Recognition and Bioinformatics |
| [1] |
Gernot A. Fink.
Mustererkennung mit Markov-Modellen.
Leitfäden der Informatik. B. G. Teubner, Stuttgart - Leipzig -
Wiesbaden, 2003. [ bib ] |
| [2] |
Simon Haykin.
Neural Networks: A Comprehensive Foundation.
Macmillan, New York, 1999. [ bib ] |
| [3] |
Christopher J. C. Burges.
A tutorial on support vector machines for pattern recognition.
Data Mining and Knowledge Discovery, 2(2):121-167, 1998. [ bib | .ps ] |
| [4] |
Jürgen Schürmann.
Pattern Classification, A unified view of statistical and neural
approaches.
Wiley-International, 1996. [ bib ] |
| [5] |
Soren Riis and Anders Krogh.
Improving prediction of protein secondary structure using structured
neural networks and multiple sequence alignments.
Journal of Computational Biology, pages 163-183, 1996. [ bib | .html ] |
| [6] |
S.Z. Li.
Markov Random Field Modeling in Computer Vision.
Springer, 1995. [ bib ] |
| [7] |
Søren Brunak, Jacob Engelbrecht, and Steen Knudsen.
Prediction of human mRNA donor and acceptor sites from the DNA
sequence.
Journal Molecular Biology, 220:49-65, 1991. [ bib | .ps ] |
| [8] |
L. R. Rabiner.
A tutorial on hidden Markov models and selected applications in
speech recognition.
Proceedings of the IEEE, 77(2):257-286, 1989. [ bib ] |
| [9] |
N. Qian and T. J. Sejnowski.
Predicting the secondary structure of globular proteins using neural
network models.
Journal of Molecular Biology, 202:865-884, 1988. [ bib | .pdf ] |
| [10] |
S. Geman and D. Geman.
Stochastic relaxation, gibbs distributions, and the bayesian
restoration of images.
Trans. on Pattern Analysis and Machine Intelligence (PAMI),
6:721-741, 1984. [ bib ] |
| [11] |
Heinrich Niemann.
Klassifikation von Mustern.
Springer, Berlin, 1983. [ bib | http ] |
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| Martin-Luther-Universität Halle |
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| Author Prof. Dr.-Ing. Stefan Posch | last update: 09-Jun-06 |