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Azunre, Paul, presenter.
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Transfer learning (Machine learning)
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. 6. Motor Control. 7. Memory. 8. Learning I: Types, Theories, Styles and Measurement. 9. Learning II
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approach, it is shown how generic machine learning methods can be applied to design LCS algorithms from the
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Iba, Hitoshi. author.
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algorithm-based search strategy with the integration of several machine learning and deep learning techniques
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Golbeck, Jennifer. editor.
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Supervision and Machine Learning for Online Harassment Detection -- Bridging the Gaps: Multi-Task Learning for
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Training Data Size -- A Machine Learning Approach to Diffusion MRI Partial Volume Estimation
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Soria Olivas, Emilio, 1969-
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Applications -- 10. Nonstationary Signal Analysis with Kernel Machines -- 11. Transfer Learning -- 12. Machine
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Processing Tasks in Machine Learning Using MARF -- Predicting User Preferences Via Similarity-Based
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Feasible Learning Functionals -- Parallelism Increases Iterative Learning Power -- Prescribed Learning of
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for Probabilistic Relational Models Structure Learning -- On the Impact of Data Set Size in Transfer
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Machine Learning of Grammars and Compilers of Programming Languages -- Improving Classification with
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Reimer, Ulrich. editor.
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a Machine Learning Approach -- Text Mining Through Semi Automatic Semantic Annotation -- Extended
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