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Król, Dariusz. editor.
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Part I: Computational Intelligence in Data Mining and Machine Learning -- Part II: Ontologies
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Li, Jianhui. editor.
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discovery through big data -- Data management challenges posed by big scientific data -- Machine learning
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Prabhu, C.S.R. author.
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reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for
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Giabbanelli, Philippe J. editor.
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visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated through
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Corea, Francesco. author.
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in machine learning, neuroscience, and artificial intelligence technology will be addressed, and new
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Kim, Kwangjo. author.
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Network Intrusion Detection using Deep Learning A Feature Learning Approach / Kim, Kwangjo. author.
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Schütze, Oliver. editor.
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Part I Genetic Programming -- Part II Combinatorial Optimization -- Part IV Machine Learning and
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Palomares Carrascosa, Iván. editor.
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, Run-Time Malware Detection, Intrusion Detection, E-Learning, Online Examinations, Cybersecurity noisy data
Yazar
Zaharia, Matei., author.
Abstract with links to full text http://dx.doi.org/10.1145/2886107
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simple queries, complex algorithms like machine learning and graph analysis are becoming common. And in
Yazar
Khan, Murad. author.
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Deep Learning: Convergence to Big Data Analytics Khan, Murad. author.
Yazar
Srinivasa, K. G. author.
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-- Chapter 8. Apache Storm -- Chapter 9. Python R -- Part III: Machine Learning for Data Analytics -- Chapter
Yazar
Wong, Raymond. editor.
Format:
Electronic Resources
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1 Benchmarking Swarm Rebalancing Algorithm for Relieving Imbalanced Machine Learning Problems -- 2
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