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Machine learning and data mining in pattern recognition : 12th international conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, proceedings /
Published 2016
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Machine learning and data mining in pattern recognition : 4th international conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005 : proceedings /
by
Imiya, Atsushi
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Perner, Petra
Published 2005
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Machine learning and data mining in pattern recognition : 6th international conference, MLDM 2009, Leipzig, Germany, July 23-25, 2009 : proceedings /
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Perner, Petra
Published 2009
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Machine learning and data mining in pattern recognition : 7th international conference, MLDM 2011, New York, NY, USA, August 30-September 3, 2011 : proceedings /
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Perner, Petra
Published 2011
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Machine learning and data mining in pattern recognition : 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings /
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Machine learning and data mining in pattern recognition : 14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings.
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Machine learning and data mining in pattern recognition : 14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings.
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Machine learning and data mining in pattern recognition : 5th international conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007 ; proceedings /
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Perner, Petra
Published 2007
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Machine learning in medical imaging : 6th International Workshop, MLMI 2015, held in conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings /
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Items from Articles & more search
The Machine Hums! Addressing Ontological and Normative Concerns Regarding Machine Learning Applications in Organizational Scholarship.
by
Leavitt, Keith
, et al.
The Ghost in the Machine, or the Ghost in Organizational Theory? A Complementary View on the Use of Machine Learning.
by
Lindebaum, Dirk
, et al.
Using the power of machine learning in sales research: process and potential.
by
Glackin, Caroline E. W.
, et al.
Marketing analytics stages: Demystifying and deploying machine learning.
by
Paas, Leonard J
Understanding Consumers' Visual Attention in Mobile Advertisements: An Ambulatory Eye-Tracking Study with Machine Learning Techniques.
by
Xie, Wen
, et al.
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