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Publication search results
found 6 matches
- 2017
- K. Gretchen Greene:
DragonPaint: Rule Based Bootstrapping for Small Data with an Application to Cartoon Coloring. PAPIs 2017: 1-9 - Mark Hamilton, Sudarshan Raghunathan, Akshaya Annavajhala, Danil Kirsanov, Eduardo de Leon, Eli Barzilay, Ilya Matiach, Joe Davison, Maureen Busch, Miruna Oprescu, Ratan Sur, Roope Astala, Tong Wen, ChangYoung Park:
Flexible and Scalable Deep Learning with MMLSpark. PAPIs 2017: 11-22 - Harlan D. Harris:
An Architecture and Domain Specific Language Framework for Repeated Domain-Specific Predictive Modeling. PAPIs 2017: 23-32 - Lucas B. Miguel, Daniel Takabayashi, Jose R. Pizani, Tiago Andrade, Brody West:
Marvin - Open source artificial intelligence platform. PAPIs 2017: 33-44 - Thomas Vandal, Max Livingston, Camen Piho, Sam Zimmerman:
Prediction and Uncertainty Quantification of Daily Airport Flight Delays. PAPIs 2017: 45-51 - Claire Hardgrove, Louis Dorard, Keiran Thompson:
4th International Conference on Predictive Applications and APIs, PAPIs 2017, Boston, MA, USA, October 24-25, 2017. Proceedings of Machine Learning Research 82, PMLR 2017 [contents]
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