Handapparat J50 / ME (Musteranalyse)

Handapparat J50 / ME (Musteranalyse)

VERZEICHNIS DER FACHLITERATURSAMMLUNG · RAUM 3204 EAP

21. Juli 2015

Literatur

1
Dietmar Abts.
Grundkurs Java. Von den Grundlagen bis zu Datenbank- und Netzanwendungen.
Vieweg, Braunschweig, 2004.
4. Auflage.

2
Alejandro Acero.
Acoustical and Environmental Robustness in Automatic Speech Recognition.
Kluwer Academic Publ., Boston, MA, 1993.

3
Jean-Marc Adamo.
Data Mining for Association Rules and Sequential Patterns.
Springer, 2001.

4
A.Hyvarinen, J.Karhunen, and E.Oja.
Independent Component Analysis.
John Wiley & Sons, 2001.

5
Jim Albert.
Bayesian Computation with R.
Use R! Springer, 2009.

6
Russell G. Almond.
Graphical Belief Modeling.
Chapman & Hall, London, 1995.

7
Paul Alpar and Joachim Niedereichenholz, editors.
Data Mining im praktischen Einsatz.
Vieweg, Wiesbaden, 2000.

8
Matthias Arnold.
Dynamische Autoregressionsmodelle für die Analyse physiologischer Signale.
PhD thesis, Friedrich-Schiller-Universität, Jena, 1996.

9
Marina Axelson-Fisk.
Comparative Gene Finding.
Computational Biology. Springer, 2010.

10
Pierre Baldi and Søren Brunak.
Bioinformatics. The Machine Learning Approach.
Adaptive Computation and Machine Learning. MIT Press, Cambridge, MA, 1998.

11
Dana H. Ballard.
An Introduction to Natural Computation.
Complex Adaptive Systems. MIT Press, Cambridge, MA, 1997.

12
Sanghamitra Bandyopadhyay and Sriparna Saha.
Unsupervised Classification.
Springer, 2013.

13
Michael Behrens and Richard Roth, editors.
Biometrische Identifikation. Grundlagen, Verfahren, Perspektiven.
Vieweg, Wiesbaden, 2001.

14
Christoph Beierle and Gabriele Kern-Isberner, editors.
Methoden wissensbasierter Systeme. Grundlagen, Algorithmen, Anwendungen.
Vieweg, Wiesbaden, 2003.
2. Auflage.

15
T.C. Bell, J.G. Cleary, and I.H. Witten.
Text Compression.
Prentice Hall, Englewood Cliffs, NJ, 1990.

16
Edward Beltrami.
What Is Random?
ISBN 0-387-98737-1, 1999.

17
Michael Berthold and David J. Hand.
Intelligent Data Analysis.
Springer, 2003.
2. Auflage.

18
Michael R. Berthold, Christzian Borgelt, Frank Höppner, and Frank Klawonn.
Guide to Intelligent Data Analysis.
Texts in Computer Science. Springer, 2010.

19
Rolf-Dieter Bippus.
Stochastische Modelle zur off-line Fließschrifterkennung.
Shaker, 2000.

20
Christopher M. Bishop.
Pattern Recognition and Machine Learning.
Springer, 2006.
Hardcover 60 EUR.

21
Hans-Joachim Böckenhauer and Dirk Bongartz.
Algorithmische Grundlagen der Bioinformatik.
Teubner, Wiesbaden, 2003.

22
K.A. Bollen.
Structural Equations With Latent Variables.
John Wiley & Sons, 1989.

23
Eric Bonabeau, Marco Dorigo, and Guy Theraulaz.
Swarm Intelligence. From Natural to Artificial Systems.
Oxford University Press, 1999.

24
Max Bramer.
Principles of Data Mining.
Undergraduate Topics in Computer Science. Springer, 2013.
2. Auflage.

25
L. Breiman, J.H. Friedman, R.A. Olshen, and C.J. Stone.
Classification and Regression Trees.
Wadsworth & Brooks, Belmont CA, 1984.

26
Rolf Brigola.
Fourieranalysis, Distributionen und Anwendungen.
Vieweg, Wiesbaden, 1996.

27
Manfred Broy.
Informatik. Eine grundlegende Einführung, volume 1: Programmierung und Rechnerstrukturen.
Springer, Berlin, 1998.
2rd edition.

28
Beat Brüderlin and Andreas Meier.
Computergrafik und Geometrisches Modellieren.
Teubner, Wiesbaden, 2001.

29
Peter Bühlmann and Sara van de Geer.
Statistics for High-Dimensional Data.
Springer Series in Statistics. Springer, 2011.

30
S. Ceri, A. Bozzon, M. Brambilla, E. Della Valle, P. Fraternali, and S. Quarteroni.
Web Information Retrieval.
Data-Centric Systems and Applications. Springer, 2013.

31
Bernard Chalmond.
Modeling and Inverse Problems in Image Analysis.
Springer, 2003.

32
Eugene Charniak.
Statistical Language Learning.
MIT Press, 1993.

33
P. Cheeseman and R. W. Oldford, editors.
Selecting Models from Data. Artificial Intelligence and Statistics IV.
Number 89 in Lecture Notes in Statistics. Springer, New York, 1994.

34
Madhu Chetty, Alioune Ngom, and Shandar Ahmad, editors.
Pattern Recognition in Bioinformatics.
Number 5265 in Lecture Notes in Computer Science. Springer, 2008.
Third IAPR International Conference, PRIB 2008, Melbourne, Australia, October 15-17, 2008.

35
Bertrand Clarke, Ernest Fokoue, and Hao Helen Zhang.
Principles and Theory for Data Mining and Machine Learning.
Springer Series in Statistics. Springer, 2009.

36
Maurice Clerc.
Particle Swarm Optimization.
ISTE, 2006.

37
Peter Clote and Rolf Backofen.
Computational Molecular Biology: an Introduction.
John Wiley & Sons, 2000.

38
Michael F. Cohen and John R. Wallace.
Radiosity and Realistic Image Synthesis.
Academic Press, Cambridge, MA, 1993.

39
Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein.
Introduction to Algorithms.
MIT Press, Cambridge, MA, 2009.
3. edition.

40
Mary Kathryn Cowles.
Applied Bayesian Statistics.
Number 98 in Springer Texts in Statistics. Springer, 2013.

41
Paul S.P. Cowpertwait and Andrew V. Metcalfe.
Introductory Time Series with R.
Use R! Springer, 2009.

42
D.R. Cox and Nanny Wermuth.
Multivariate Dependencies. Models, Analysis and Interpretation.
Chapman & Hall, Boca Raton, 1996.

43
N. Cristianini and J. Shawe-Taylor.
Support Vector Machines and other Kernel-Based Learning Methods.
Cambridge University Press, 2000.

44
Maxime Crochemore and Wojchiech Rytter.
Jewels of Stringology.
World Scientific, 2002.
Paperback 25 Pound.

45
E. Davies.
Machine Vision: Theory, Algorithms, and Applications.
Academic Press, 1997.

46
Rhodri Davies, Carole Twining, and Chris Taylor, editors.
Statistical Models of Shape. Optimisation and Evaluation.
Springer, 2008.

47
J.P. Marques de Sa.
Pattern Recognition. Concepts, Methods and Applications.
Springer, 2001.

48
Marcus Deininger, Horst Lichter, Jochen Ludewig, and Kurt Schneider.
Studien-Arbeiten. Ein Leitfaden zur Vorbereitung, Durchführung und Betreuung von Studien-, Diplom-, Abschluss- und Doktorarbeiten am Beispiel Informatik.
vdf Hochschulverlag AG, ETH Zürich, CH, 2005.
5. Auflage.

49
Joachim Denzler.
Aktives Sehen zur Echtzeitverfolgung.
Number 163 in Dissertationen zur Künstlichen Intelligenz. Infix, Sankt Augustin, 1997.

50
R.C. Deonier, S. Tavare, and M.S. Waterman.
Computational Genome Analysis.
Springer, 2005.
Hardcover 63 EUR.

51
Hermann Döhler.
Informationsgewinn durch Messung.
Expert Verlag, 2006.
Paperback 59 EUR.

52
M. Drmota, B. Gittenberger, G. Karigl, and A. Panholzer.
Mathematik für Informatik.
Heldermann Verlag, 2007.
438 Seiten fester Einband 36 EUR.

53
R.O. Duda, P.E. Hart, and D.G. Stork.
Pattern Classification.
Wiley Interscience, 2001.

54
Gunter Dueck.
Das Sintflutprinzip.
Springer, 2004.

55
Martin Dugas and Karin Schmidt.
Medizinische Informatik und Bioinformatik.
Springer, 2002.

56
L. Dümbgen.
Stochastik für Informatiker.
Springer, 2003.

57
Richard Durbin, Sean Eddy, Anders Krogh, and Graeme Mitchison.
Biological Sequence Analysis.
Cambridge University Press, Cambridge, UK, 1998.

58
Dirk Eddelbuettel.
Seamless R and C++ Integration with Rcpp.
Number 64 in Use R! Springer, 2013.

59
David Edwards.
Introduction to Graphical Modelling.
Springer Texts in Statistics. Springer, New York, NY, 1995.

60
Bradley Efron and Robert J. Tibshirani.
An Introduction to the Bootstrap.
Number 57 in Monographs on Statistics and Applied Probability. Chapman & Hall, New York, NY, 1993.

61
Hartmut Ernst.
Grundkurs Informatik.
Vieweg, Braunschweig, 2003.
3. Auflage.

62
Wolfgang Ertel.
Grundkurs Künstliche Intelligenz.
Vieweg, Wiesbaden, 2009.
2. edition.

63
Stephan Euler.
Grundkurs Spracherkennung.
Vieweg, Wiesbaden, 2006.

64
Brian Everitt and Torsten Hothorn.
An Introduction to Applied Multivariate Analysis with R.
Use R. Springer, 2011.

65
Warren J. Ewens and Gregory R. Grant.
Statistical Methods in Bioinformatics: an Introduction.
Statistics for Biology and Health. Springer, 2001.

66
Ludwig Fahrmeir, Thomas Kneib, and Stefan Lang.
Regression.
Springer, 2007.

67
Klaus Fellbaum.
Sprachverarbeitung und Sprachübertragung.
Springer, 2012.
2. Auflage.

68
Reginald Ferber.
Information Retrieval. Suchmodelle und Data-Mining-Verfahren für Textsammlungen und das Web.
dpunkt.verlag, 2003.

69
Gernot A. Fink.
Mustererkennung mit Markov-Modellen.
Teubner, Wiesbaden, 2003.

70
Paul Fischer.
Algorithmisches Lernen.
Teubner, Wiesbaden, 2000.

71
Robert B. Fisher, Toby P. Breckon, Kenneth Dawson-Howe, Andrew Fitzgibbon, Craig Robertson, Emanuele Trucco, and Christopher K. I. Williams.
Dictionary of Computer Vision and Image Processing.
John Wiley & Sons, 2013.
2. Auflage.

72
Brian H. Flowers.
An Introduction to Numerical Methodes in C++.
Oxford University Press, 2000.

73
Paul F. Fougère, editor.
Maximum Entropy and Bayesian Methods, volume 39 of Fundamental Theories of Physics.
Kluwer Academic Publishers, Dordrecht, NJ, 1990.

74
Alex A. Freitas.
Data Mining and Knowledge Discovery with Evolutionary Algorithms.
Springer, 2002.

75
S. Furui.
Digital Speech Processing, Synthesis, and Recognition.
Marcel Dekker, New York, 2001.

76
Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, and Donald B. Rubin.
Bayesian Data Analysis.
CRC Press, 2013.
3. Auflage.

77
Ingrid Gerdes, Frank Klawonn, and Rudolf Kruse.
Evolutionäre Algorithmen.
Vieweg, Wiesbaden, 2004.

78
Ben Gold and Nelson Morgan.
Speech and Audio Processing: Processing and Perception of Speech and Music.
John Wiley & Sons, 1999.

79
G.H. Golub and C.F. Van Loan.
Matrix Computations.
Johns Hopkins University Press, 1996.

80
Ulf Grenander and Michael I. Miller.
Pattern Theory.
Oxford University Press, 2006.

81
Geoffrey Grimmett and David Stirzaker.
One Thousand Exercises in Probability.
Oxford University Press, 2001.

82
Geoffrey Grimmett and David Stirzaker.
Probability and Random Processes.
Oxford University Press, 2001.
3. edition, Paperback.

83
Jürgen Groß.
Grundlegende Statistik mit R.
Vieweg, Wiesbaden, 2010.

84
Ulrich Grude.
Java ist eine Sprache.
Vieweg, Wiesbaden, 2005.

85
F. Hahne, W. Huber, R. Gentleman, and S. Falcon.
Bioconductor Case Studies.
Use R. Springer, 2008.

86
J. Han and M. Kamber.
Data Mining: Concepts and Techniques.
Morgan Kaufmann, 2000.

87
Te Sun Han.
Information-Spectrum Method in Information Theory, volume 50 of Applications of Mathematics.
Springer, 2002.

88
Heinz Handels.
Medizinische Bildverarbeitung.
Teubner, Wiesbaden, 2000.

89
R. Haralick and L. Shapiro.
Computer and Robot Machine Vision, volume 1.
Addison-Wesley, 1992.

90
R. Haralick and L. Shapiro.
Computer and Robot Machine Vision, volume 2.
Addison-Wesley, 1993.

91
H.L. Harney.
Bayesian Inference.
Springer, 2003.

92
Chris Harris, Xia Hong, and Qiang Gan.
Adaptive Modelling, Estimation and Fusion from Data.
Springer, 2002.

93
T. Hastie, R. Tibshirani, and J. Friedman.
The Elements of Statistical Learning.
Springer, 2001.

94
Roland Hausser.
Computation of Language.
Symbolic Computation. Springer-Verlag, Berlin, 1989.

95
Roland Hausser.
Grundlagen der Computerlinguistik.
Springer-Verlag, Berlin, 2000.

96
Simon Haykin.
Neural Networks. A Comprehensive Foundation.
Prentice Hall, 2 edition, 1999.

97
Holger Hermanns.
Interactive Markov Chains.
Springer, 2002.

98
Frank Höppner, Frank Klawonn, Rudolf Kruse, and Thomas Runkler.
Fuzzy Cluster Analysis.
John Wiley, 1999.

99
Xuedong Huang, Alex Acero, Hsiao-Wuen Hon, and Raj Reddy, editors.
Spoken Language Processing: A Guide to Theory, Algorithm and System Development.
Prentice Hall, 2001.

100
W.J. Hutchins and H.L. Somers.
An Introduction to Machine Translation.
Academic Press, London, 1992.

101
M.-T. Hütt.
Datenanalyse in der Biologie.
Springer, 2001.

102
Søren Højsgaard, David Edwards, and Steffen Lauritzen.
Graphical Models with R.
Use R! Springer, 2012.

103
Alan Julian Izenman.
Modern Multivariate Statistical Techniques. Regression, Classification, and Manifold Learning.
Springer Texts in Statistics. Springer, 2008.

104
B. Jähne.
Digitale Bildverarbeitung.
Springer, Heidelberg, 2002.

105
A.K. Jain and R.C. Dubes.
Algorithms for Clustering Data.
Prentice-Hall, 1988.

106
Anil K. Jain, Arun A. Ross, and Karthik Nandakumar.
Introduction to Biometrics.
Springer, 2011.

107
G. James, D. Witten, T. Hastie, and R. Tibshirani.
An Introduction to Statistical Learning.
Number 103 in Springer Texts in Statistics. Springer, 2013.

108
Frederick Jelinek.
Statistical Methods for Speech Recognition.
MIT Press, Cambridge, MA, 1997.

109
F.B. Jensen.
Bayesian Networks and Decision Graphs.
Springer, 2001.

110
Thorsten Joachims.
Learning to Classify Text Using Support Vector Machines.
Kluwer Academic Publ., Boston, MA, 2002.

111
Daniel Jurafsky and James H. Martin.
Speech and Language Processing.
Prentice Hall, 2000.

112
Daniel Jurafsky and James H. Martin.
Speech and Language Processing.
Prentice Hall, 2008.
2nd edition.

113
J. N. Kapur and H. K. Kesavan.
Entropy Optimization Principles.
Academic Press, San Diego, CA, 1992.

114
Leonard Kaufman and Peter J. Rousseeuw.
Finding Groups in Data.
John Wiley & Sons, 1990.

115
Hubert B. Keller.
Maschinelle Intelligenz. Grundlagen, Lernverfahren, Bausteine intelligenter Systeme.
Computational Intelligence. Vieweg/Gabler, Braunschweig, 2000.

116
Herbert Klaeren and Michael Sperber.
Vom Problem zum Programm.
Teubner, 2001.

117
Reinhard Klette, Andreas Koschan, and Karsten Schlüns.
Computer Vision.
Vieweg, Wiesbaden, 1996.

118
Gerhard Kockläuner.
Multivariate Datenanalyse.
Vieweg, Wiesbaden, 2000.

119
Teuvo Kohonen.
Self-Organizing Maps, volume 30 of Springer Series in Information Sciences.
Springer, Berlin, 1995.
3rd edition.

120
Guido Kolano.
Lernverfahren zur Sprecherverifikation.
Shaker, Aachen, 2001.

121
Daphne Koller and Nir Friedman.
Probabilistic Graphical Models. Principles and Techniques.
Adaptive Computation and Machine Learning. MIT Press, 2009.

122
Gerald Kowalski.
Information Retrieval Architecture and Algorithms.
Springer, 2011.

123
J. Kreiß and G. Neuhaus.
Einführung in die Zeitreihenanalyse.
Springer, 2006.

124
Richard Kronland-Martinet, Solvi Ystad, and Kristoffer Jensen, editors.
Computer Music Modeling and Retrieval. Sense of Sounds, volume 4969 of Lecture Notes in Computer Science.
Springer, 2008.
4th International Symposium, CMMR 2007, Copenhagen, Denmark, August 2007.

125
Kristian Kroschel, Gerhard Rigoll, and Björn Schuller.
Statistische Informationstechnik.
Springer, 2011.
5. Auflage.

126
L.I. Kuncheva.
Fuzzy Classifier Design, volume 49 of Studies in Fuzziness and Soft Computing.
Springer, 2000.

127
Steffen L. Lauritzen.
Graphical Models.
Oxford Statistical Science Series. Clarendon Press, Oxford, 1996.

128
Stan Z. Li and Anil K. Jain, editors.
Handbook of Face Recognition.
Springer, 2011.

129
S.Z. Li, J. Lai, T. Tan, G. Feng, and Y. Wang, editors.
Advances in Biometric Person Authentication, volume 3338 of LNCS.
Springer, 2004.
5. Chinese Conference on Biometric Recognition.

130
U. Ligges.
Programmieren mit 'R'.
Springer, 2004.

131
Z.-Q. Liu, J.-H. Cau, and R. Buse.
Handwriting Recognition, volume 133 of Studies in Fuzziness and Soft Computing.
Springer, 2003.

132
John C. Loehlin.
Latent Variable Models.
Lawrence Erlbaum Assoc Inc, 2004.

133
Alfred Karl Louis.
Inverse und schlecht gestellte Probleme.
Teubner, 1989.

134
Alfred Karl Louis, Peter Maaß, and Andreas Rieder.
Wavelets.
Teubner, 1998.

135
Christopher D. Manning and Hinrich Schütze.
Foundations of Statistical Natural Language Processing.
MIT Press, 1999.

136
Joseph Mariani, editor.
Spoken Language Processing.
ISTE, 2008.

137
Rudolf Mathar.
Informationstheorie.
Teubner, Wiesbaden, 1996.

138
M.F. McTear.
Spoken Dialogue Technology.
Springer, 2004.

139
S. Mendelson and A.J. Smola, editors.
Advanced Lectures on Machine Learning.
Number 2600 in Lecture Notes in Artificial Intelligence. Springer, New York, 2003.
Machine Learning Summer School 2002 (Canberra, Australia).

140
Alfred Mertins.
Signaltheorie.
Springer, 2013.
3. Auflage.

141
Tom M. Mitchell.
Machine Learning.
McGraw-Hill Series in Computer Science. McGraw-Hill, New York, NY, 1997.

142
Tom M. Mitchell.
Machine Learning.
McGraw-Hill Series in Computer Science. McGraw-Hill, New York, NY, 1997.

143
S. Mori and H. Nishida.
Optical Character Recognition.
John Wiley & Sons, 1999.

144
Hanspeter Mössenböck.
Sprechen Sie Java?
dpunkt.verlag, 2005.
3. Auflage.

145
Dieter Müller-Wichards.
Transformationen und Signale.
Teubner, 1999.

146
I.T. Nabney.
NETLAB. Algorithms for Pattern Recognition.
Advances in Pattern Recognition. Springer, 2001.

147
Richard E. Neapolitan.
Probabilistic Reasoning in Expert Systems.
John Wiley & Sons, 1990.

148
Richard E. Neapolitan.
Learning Bayesian Networks.
Prentice Hall, 2003.

149
Michel Neuhaus and Horst Bunke.
Bridging the Gap between Graph Edit Distance and Kernel Machines, volume 68 of Series in Machine Perception and Artificial Intelligence.
World Scientific, Singapore, 2007.

150
Martin Neukom.
Signale, Systeme und Klangsynthese.
Peter Lang Verlag ISBN 3-03910-125-0, 2003.

151
Heinrich Niemann.
Klassifikation von Mustern.
Springer Verlag, Berlin, 1983.

152
Heinrich Niemann.
Pattern Analysis and Understanding, volume 4 of Series in Information Sciences.
Springer, Berlin Heidelberg, 1990.

153
Alfred Nischwitz and Peter Haberäcker.
Masterkurs Computergrafik und Bildverarbeitung.
Vieweg, 2004.

154
J. Paetz.
Soft Computing in der Bioinformatik.
Springer, 2006.

155
Barbara H. Partee, Alice ter Meulen, and Robert E. Wall.
Mathematical Methods in Linguistics, volume 30 of Studies in Linguistics and Philosophy.
Kluwer Academic Publishers, Dordrecht, 1993.

156
Dietrich W. R. Paulus and Joachim Hornegger.
Pattern Recognition of Images and Speech in C++.
Advanced Studies in Computer Science. Vieweg, Wiesbaden, 1997.

157
Erwin Paulus.
Sprachsignalverarbeitung.
Spektrum Akademischer Verlag, 1998.

158
Judea Pearl.
Probabilistic Reasoning in Intelligent Systems.
Morgan Kaufmann, 1997.

159
Judea Pearl.
Causality.
Cambridge University Press, 2000.

160
Mario Pechwitz.
Automatische Erkennung handgeschriebener arabischer Wörter.
Shaker, Aachen, 2005.
EUR 45.80.

161
Petra Perner, editor.
Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects, volume 5077 of Lecture Notes in Computer Science.
Springer, 2008.
8th Industrial Conference, ICDM 2008 Leipzig, Germany, July 16-18, 2008.

162
Giovanni Petris, Sonia Petrone, and Patrizia Campagnoli.
Dynamic Linear Models with R.
Use R! Springer, 2009.

163
Hartmut Pohlheim.
Evolutionäre Algorithmen.
Springer Verlag, Berlin, 2000.

164
Terrence W. Pratt and Marvin V. Zelkowitz.
Programming Languages.
Prentice Hall, 1996.

165
S. James Press.
Bayesian Statistics: Principles, Models, and Applications.
Series in Probability and Mathematical Statistics. Wiley, New York, 1989.

166
L.R. Rabiner.
Fundamentals of Speech Recognition.
Signal Processing Series. Prentice Hall, Englewood Cliffs, NJ, 1993.

167
Robert D. Retherford and Minja Kim Choe.
Statistical Models for Causal Analysis.
John Wiley, New York, NY, 1993.

168
Jorma Rissanen.
Stochastic Complexity in Statistical Inquiry.
Number 15 in Series in Computer Science. World Scientific, Singapore, 1989.

169
Thomas A. Runkler.
Information Mining. Methoden, Algorithmen und Anwendungen intelligenter Datenanalyse.
Computational Intelligence. Vieweg/Gabler, Braunschweig, 2000.

170
Thomas A. Runkler.
Data Analytics. Models and Algorithms for Intelligent Data Analysis.
Springer Vieweg, 2012.

171
Stuart Russell and Peter Norvig.
Artificial Intelligence Modern Applications.
Prentice Hall, 1999.

172
Gunter Saake and Kai-Uwe Sattler.
Algorithmen und Datenstrukturen. Eine Einführung mit Java.
dpunkt.verlag, 2013.
5. Auflage.

173
David Salomon.
Data Compression. The Complete Reference.
Springer, New York, 1997.

174
D. Sankoff and J.B. Kruskal, editors.
Time Warps, String Edits, and Makromolecules.
Addison-Wesley, Reading, MA, 1983.

175
Wilhelm Schaffrath.
Grundkurs UNIX/Linux.
Vieweg, Braunschweig, 2003.

176
Joachim Schenk and Gerhard Rigoll.
Mensch-Maschine-Kommunikation.
Springer, 2010.

177
M.I. Schlesinger and V. Hlavac.
Ten Lectures on Statistical and Structural Pattern Recognition.
Kluwer Academic, 2002.

178
B. Schölkopf.
Support Vector Learning.
R. Oldenbourg Verlag, München, 1997.

179
B. Schölkopf, C.J.C. Burges, and A.J. Smola, editors.
Advances in Kernel Methods -- Support Vector Learning.
MIT Press, Cambridge, 1999.

180
A. Schrijver.
Combinatorial Optimization, volume A, B, C.
Springer, 2002.

181
Manfred R. Schroeder.
Computer Speech: Recognition, Compression, Synthesis, volume 35 of Springer Series in Information Sciences.
Springer, 1999.

182
E.G. Schukat-Talamazzini.
Automatische Spracherkennung.
Vieweg, Wiesbaden, 1995.

183
Jürgen Schürmann.
Pattern Classification: a Unified View of Statistical and Neural Approaches.
Wiley, 1996.

184
M. Schwaiger and O. Opitz, editors.
Exploratory Data Analysis in Empirical Research.
Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, 2003.
Proc. 25th Annual Conference of the Gesellschaft für Klassifikation e.V.

185
J. Setubal and J. Meidanis.
Introduction to Computational Molecular Biology.
PWS Publishing Co., 1997.

186
Tan Kiat Shi, Willi-Hans Steeb, and Yorick Hardy.
Symbolic C++: an Introduction to Computer Algebra Using Object-Oriented Programming.
Springer, 2000.

187
Jeffrey S. Simonoff.
Smoothing Methods in Statistics.
Springer Series in Statistics. Springer, New York, NY, 1996.

188
Michael Soltys.
An Introduction to the Analysis of Algorithms.
World Scientific, 2012.
2nd edition, 43 Pound.

189
Andreas Solymosi and Ulrich Grude.
Grundkurs Algorithmen und Datenstrukturen in JAVA.
Vieweg, Braunschweig, 2002.
3. Auflage.

190
Terry Speed and Michael S. Waterman, editors.
Genetic Mapping and DNA Sequencing.
Number 81 in IMA Volumes in Mathematics and its Applications. Springer, New York, 1996.

191
Sargur N. Srihari and Katrin Franke, editors.
Computational Forensics. Second International Workshop.
Number 5158 in Lecture Notes in Computer Science. Springer, 2008.
IWCF 2008, Washington, DC, USA, August 7-8, 2008.

192
Willi-Hans Steeb.
The Nonlinear Workbook.
World Scientific, 2005.
Paperback 29 Pound.

193
Ingo Steinwart and Andreas Christmann.
Support Vector Machines.
Information Science and Statistics. Springer, 2008.

194
Tilo Strutz.
Bilddatenkompression.
Vieweg, Wiesbaden, 2005.

195
Axel Susen.
Spracherkennung. Kosten, Nutzen, Einsatzmöglichkeiten.
VDE Verlag, Berlin, 1999.

196
Richard S. Sutton and Andrew G. Barto.
Reinforcement Learning: An Introduction.
MIT Press, 1998.

197
Fotios Talantzis, Aristodemos Pnevmatikakis, and Anthony Constantinides.
Audio-Visual Person Tracking, volume 4 of Communications and Signal Processing.
World Scientific, 2011.
promotional (25 percent off) code: WOCT25B.

198
M. Tistarelli, J. Bigun, and A.K. Jain, editors.
Biometric Authentication, volume 2359 of LNCS.
Springer, 2002.
Proc. Int. ECCV 2002 Workshop Copenhagen, Denmark.

199
Klaus D. Toennies.
Guide to Medical Image Analysis.
Advances in Computer Vision and Pattern Reognition. Springer, 2012.

200
Leslie G. Valiant.
Circuits of the Mind.
Oxford University Press, New York, 1994.

201
Vladimir Vapnik.
The Nature of Statistical Learning Theory.
Springer, New York, 1995.

202
V.N. Vapnik.
Statistical Learning Theory.
Wiley, 1998.

203
W.N. Venables and B.D. Ripley.
Modern Applied Statistics with S.
Springer, 2002.

204
M. Vidyasagar.
Learning and Generalization. With Applications to Neural Networks.
Springer, 2002.

205
Arndt von Haeseler and Stefen Kläre.
Statistische Methoden der Bioinformatik.
Teubner, 2005.

206
Alexander Waibel and Kai-Fu Lee, editors.
Readings in Speech Recognition.
Morgan Kaufmann Publishers, 1990.

207
Christoph Walther.
Semantik und Programmverifikation.
Teubner, 2001.

208
Michael Waterman.
Introduction to Computational Biology.
Chapman & Hall, London, 1995.

209
Karsten Weicker.
Evolutionäre Algorithmen.
Teubner, Wiesbaden, 2002.
EUR 33.90.

210
Sholom M. Weiss, Nitin Indurkhya, and Tong Zhang.
Fundamentals of Predictive Text Mining, volume 41 of Texts in Computer Science.
Springer, 2010.

211
Joe Whittaker.
Graphical Models in Applied Multivariate Statistics.
John Wiley & Sons, Chichester, 1995.

212
R. Widhalm and T. Mück.
Topic Maps.
Springer, 2001.

213
Graham Williams.
Data Mining with Rattle and R.
Use R. Springer, 2011.

214
Gerhard Winkler.
Image Analysis, Random Fields and Markov Chain Monte Carlo Methods.
Springer, 2003.
2. Auflage.

215
Patrick Henry Winston, editor.
Artificial Intelligence.
Addison-Wesley, Reading, MA, 1979.

216
Ian H. Witten and Eibe Frank.
Data Mining: Practical Machine Learning Tools and Techniques.
Morgan Kaufmann, 2005.
2. Auflage.

217
Hector Zenil, editor.
Randomness Through Computation. Some Answers, More Questions.
World Scientific, 2011.

218
Chengqi Zhang and Shichao Zhang.
Association Rule Mining. Models and Algorithms, volume 2307 of LNCS.
Springer, 2002.

219
D.D. Zhang.
Automated Biometrics. Technologies and Systems.
Kluwer Academic Publ., Boston, MA, 2000.

220
Justin Zobel.
Writing for Computer Science.
Springer, 2004.

221
E. Zwicker and H. Fastl.
Psychoacoustics, volume 22 of Information Sciences.
Springer, 2 edition, 1999.

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