Open AccessSentient Ascend: AI-Based Massively Multivariate Conversion Rate Optimization
Author(s) -
Risto Miikkulainen,
Neil Iscoe,
Aaron Shagrin,
Ryan A. Rapp,
Sam Nazari,
Patrick T. McGrath,
Cory Schoolland,
Elyas Achkar,
Myles Brundage,
Jeremy Miller,
Jonathan Epstein,
Gurmeet Lamba
Publication year - 2018
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v32i1.11387
Subject(s) - computer science , multivariate statistics , space (punctuation) , interface (matter) , massively parallel , product line , product (mathematics) , machine learning , operating system , mathematics , geometry , bubble , manufacturing engineering , maximum bubble pressure method , engineering
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom