Embedded Machine Learning: Papers from the AAAI Fall Symposium
Rich Caruana, Tom Dietterich, Dragos Margineantu, Organizers
November 12–14, 2015, Arlington, Virginia
Technical Report FS-15-04
Softcover version of the technical report: $25.00 softcover
(For international orders please shipping options before ordering on website.)
The Embedded Machine Learning symposium will study the challenges that arise when machine learning is embedded as a component in large complex systems. Papers in this report include Toward Embedding Bayesian Optimization in the Lab: Reasoning about Resource and Actions; Adaptive Treatment Allocation Using Sub-Sampled Gaussian Processes; and Saul: Towards Declarative Learning Based Programming.