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Machine learning and statistical approaches to image retrieval 著者: Chen, Yixin, 1972-

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Concept data analysis theory and applications / 著者: Carpineto, Claudio

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Advances in learning theory methods, models, and applications /

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Machine learning applications in software engineering

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Kernel methods for pattern analysis 著者: Shawe-Taylor, John

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An inductive logic programming approach to statistical relational learning 著者: Kersting, Kristian

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Gaussian processes for machine learning 著者: Rasmussen, Carl Edward

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Nearest-neighbor methods in learning and vision theory and practice /

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Least squares support vector machines

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Ontology learning and population bridging the gap between text and knowledge /

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Approximation methods for efficient learning of Bayesian networks 著者: Riggelsen, Carsten

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Bioinformatics the machine learning approach / 著者: Baldi, Pierre

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Learning with kernels support vector machines, regularization, optimization, and beyond / 著者: Schölkopf, Bernhard

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Bridging the gap between graph edit distance and kernel machines 著者: Neuhaus, Michel

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Support vector machine in chemistry

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Dataset shift in machine learning

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Machine learning in bioinformatics 著者: Zhang, Yan-Qing

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Pattern classification using ensemble methods 著者: Rokach, Lior

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Machine learning approaches to bioinformatics 著者: Yang, Zheng Rong

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An elementary introduction to statistical learning theory 著者: Kulkarni, Sanjeev

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