Proceedings of Machine Learning Research, 4th International Conference on Predictive Applications and APIs Flexible and Scalable Deep Learning with MMLSpark Mark Hamilton Sudarshan

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Journal of Machine Learning Research, 4th International Conference on Predictive Applications and APIs Marvin - Open source artificial intelligence platform Lucas B. Miguel

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• Artificial neural network
• Computational neuroscience
• Market research
• Market segmentation
• Mathematical psychology
• Applied mathematics

Proceedings of Machine Learning Research, 4th International Conference on Predictive Applications and APIs DragonPaint: Rule Based Bootstrapping for Small Data with an Application to Cartoon Coloring K. Gr

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• Plant morphology
• Plant reproductive system
• Pollination
• Reproduction
• Dungeons & Dragons
• Computational neuroscience
• Behavior
• Artificial neural network
• Petal
• Dragon
• Flower
• Yellow

Proceedings of Machine Learning Research, 4th International Conference on Predictive Applications and APIs An Architecture and Domain Specific Language Framework for Repeated Domain-Specific Predictive M

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• Software engineering
• Computing
• Modeling and simulation
• Software architecture
• Software design
• Domain-specific language
• Domain-driven design
• Conceptual model
• Architectural pattern
• Scientific modelling
• Domain-specific modeling
• Feature engineering

Proceedings of Machine Learning Research, 4th International Conference on Predictive Applications and APIs Prediction and Uncertainty Quantification of Daily Airport Flight Delays Thomas Vandal

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• Artificial neural networks
• Computational neuroscience
• Applied mathematics
• Statistics
• Probability and statistics
• Computational statistics
• Long short-term memory
• Recurrent neural network
• Rnn
• Forecasting
• Deep learning
• Artificial intelligence

The Value Learning Problem In: Ethics for Artificial Intelligence Workshop at 25th International Joint Conference on Artificial Intelligence (IJCAINew York, NY, USA 9–15 July 2016 Nate Soares Machine Intelligenc

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IC�� 2017 THE 34TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING S��NE�, ���T�A��� A�G��� 6T� - 11�H, 2017

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 THE 34TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING ICML 2017 SYDNEY, AUSTRALIA

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Deadline of New Full Paper/Poster/Abstract Submissions: April 1, 2016 The aim objective of 2016 International Conference on Machine Learning, Electrical and Electronics Engineering (MLEE-16) is to provide a platform for

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Proceedings of the Seventh International Conference on Machine Learning and Cybernetics, Kunming, 12-15 JulyAN IMPROVED METHOD FOR HIDING DATA IN A MAZE HUI-LUNG LEE, CHIA-FENG LEE, LING-HWEI CHEN Department of Co

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