The Past, Present, and Future of Machine Learning APIs

Atakan Cetinsoy, Francisco J. Martin, José Antonio Ortega, Poul Petersen
Proceedings of The 2nd International Conference on Predictive APIs and Apps, PMLR 50:43-49, 2016.

Abstract

In this paper, we start off by summarizing the key evolutionary turning points of machine learning APIs and conclude by laying out our vision for the future of this key enabling component that can power tomorrow’s ubiquitous intelligent systems.

Cite this Paper

BibTeX
@InProceedings{pmlr-v50-cetinsoy15, title = {The Past, Present, and Future of Machine Learning APIs}, author = {Cetinsoy, Atakan and Martin, Francisco J. and Ortega, José Antonio and Petersen, Poul}, booktitle = {Proceedings of The 2nd International Conference on Predictive APIs and Apps}, pages = {43--49}, year = {2016}, editor = {Dorard, Louis and Reid, Mark D. and Martin, Francisco J.}, volume = {50}, series = {Proceedings of Machine Learning Research}, address = {Sydney, Australia}, month = {06--07 Aug}, publisher = {PMLR}, pdf = {http://proceedings.mlr.press/v50/cetinsoy15.pdf}, url = {https://proceedings.mlr.press/v50/cetinsoy15.html}, abstract = {In this paper, we start off by summarizing the key evolutionary turning points of machine learning APIs and conclude by laying out our vision for the future of this key enabling component that can power tomorrow’s ubiquitous intelligent systems.} }
Endnote
%0 Conference Paper %T The Past, Present, and Future of Machine Learning APIs %A Atakan Cetinsoy %A Francisco J. Martin %A José Antonio Ortega %A Poul Petersen %B Proceedings of The 2nd International Conference on Predictive APIs and Apps %C Proceedings of Machine Learning Research %D 2016 %E Louis Dorard %E Mark D. Reid %E Francisco J. Martin %F pmlr-v50-cetinsoy15 %I PMLR %P 43--49 %U https://proceedings.mlr.press/v50/cetinsoy15.html %V 50 %X In this paper, we start off by summarizing the key evolutionary turning points of machine learning APIs and conclude by laying out our vision for the future of this key enabling component that can power tomorrow’s ubiquitous intelligent systems.
RIS
TY - CPAPER TI - The Past, Present, and Future of Machine Learning APIs AU - Atakan Cetinsoy AU - Francisco J. Martin AU - José Antonio Ortega AU - Poul Petersen BT - Proceedings of The 2nd International Conference on Predictive APIs and Apps DA - 2016/06/05 ED - Louis Dorard ED - Mark D. Reid ED - Francisco J. Martin ID - pmlr-v50-cetinsoy15 PB - PMLR DP - Proceedings of Machine Learning Research VL - 50 SP - 43 EP - 49 L1 - http://proceedings.mlr.press/v50/cetinsoy15.pdf UR - https://proceedings.mlr.press/v50/cetinsoy15.html AB - In this paper, we start off by summarizing the key evolutionary turning points of machine learning APIs and conclude by laying out our vision for the future of this key enabling component that can power tomorrow’s ubiquitous intelligent systems. ER -
APA
Cetinsoy, A., Martin, F.J., Ortega, J.A. & Petersen, P.. (2016). The Past, Present, and Future of Machine Learning APIs. Proceedings of The 2nd International Conference on Predictive APIs and Apps, in Proceedings of Machine Learning Research 50:43-49 Available from https://proceedings.mlr.press/v50/cetinsoy15.html.

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