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1
Dataset shift in machine learning
Published 2009
Subjects: “...Machine learning....”
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2
Machine learning in bioinformatics
by Zhang, Yan-Qing.
Published 2009
Subjects: “...Machine learning....”
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3
Machine learning a probabilistic perspective /
by Murphy, Kevin P., 1970-
Published 2012
Subjects: “...Machine learning....”
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4
Machine learning approaches to bioinformatics
by Yang, Zheng Rong.
Published 2010
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5
Optimal learning
by Powell, Warren B., 1955-
Published 2012
Subjects: “...Machine learning....”
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6
Cost-sensitive machine learning
Published 2012
Subjects: “...Machine learning -- Cost effectiveness....”
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7
Semi-supervised learning
Published 2006
Subjects: “...Supervised learning (Machine learning)...”
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8
Machine learning in non-stationary environments introduction to covariate shift adaptation /
by Sugiyama, Masashi, 1974-
Published 2012
Subjects: “...Machine learning....”
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9
Kernels for structured data
by Gartner, Thomas.
Published 2008
Subjects: “...Machine learning....”
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10
Machine learning for financial engineering
by Györfi, László.
Published 2012
Subjects: “...Machine learning....”
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11
Learning with kernels support vector machines, regularization, optimization, and beyond /
by Schölkopf, Bernhard.
Published 2002
Subjects: “...Machine learning....”
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12
The voice in the machine building computers that understand speech /
by Pieraccini, Roberto, 1955-
Published 2012
Subjects: “...Machine learning....”
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13
Pattern classification using ensemble methods
by Rokach, Lior.
Published 2010
Subjects: “...Machine learning....”
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14
Optimization for machine learning
Published 2012
Subjects: “...Machine learning -- Mathematical models....”
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15
Boosting foundations and algorithms /
by Schapire, Robert E.
Published 2012
Subjects: “...Supervised learning (Machine learning)...”
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16
Building machine learning systems with Python
by Richert, Willi.
Published 2013
Subjects: “...Machine learning....”
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17
Machine learning and statistical approaches to image retrieval
by Chen, Yixin, 1972-
Published 2004
Subjects: “...Machine learning....”
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18
Concept data analysis theory and applications /
by Carpineto, Claudio.
Published 2004
Subjects: “...Machine learning....”
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19
Machine interpretation of patterns image analysis and data mining /
Published 2010
Subjects: “...Machine learning....”
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20
Least squares support vector machines
Published 2002
Subjects: “...Machine learning....”
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21
An elementary introduction to statistical learning theory
by Kulkarni, Sanjeev.
Published 2011
Subjects: “...Machine learning -- Statistical methods....”
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22
Gaussian processes for machine learning
by Rasmussen, Carl Edward.
Published 2006
Subjects: “...Machine learning -- Mathematical models....”
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23
Machine learning in image steganalysis
by Schaathun, Hans Georg.
Published 2012
Subjects: “...Machine learning....”
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24
Advances in learning theory methods, models, and applications /
Published 2003
Subjects: “...Machine learning -- Mathematical models -- Congresses....”
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25
An inductive logic programming approach to statistical relational learning
by Kersting, Kristian.
Published 2006
Subjects: “...Machine learning....”
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26
Kernel methods for pattern analysis
by Shawe-Taylor, John.
Published 2004
Subjects: “...Machine learning....”
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27
Support vector machine in chemistry
Published 2004
Subjects: “...Machine learning....”
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28
Approximation methods for efficient learning of Bayesian networks
by Riggelsen, Carsten.
Published 2008
Subjects: “...Machine learning....”
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29
Machine learning applications in software engineering
Published 2005
Subjects: “...Machine learning....”
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30
Bridging the gap between graph edit distance and kernel machines
by Neuhaus, Michel.
Published 2007
Subjects: “...Machine learning....”
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31
Nearest-neighbor methods in learning and vision theory and practice /
Published 2005
Subjects: “...Machine learning -- Congresses....”
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32
Introduction of intelligent machine fault diagnosis and prognosis
by Yang, O-Suk.
Published 2009
Subjects: “...Machine learning....”
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33
Bioinformatics the machine learning approach /
by Baldi, Pierre.
Published 2001
Subjects: “...Machine learning....”
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34
Ontology learning and population bridging the gap between text and knowledge /
Published 2008
Subjects: “...Machine learning....”
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