Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Bahador Nooraei"'
Autor:
Qiang Zhu, Marie Sbrocca, Aaron Siegel, Krishna Puttaswamy, Bahador Nooraei, Andrew Hoh, Varant Zanoyan, Evgeny Shapiro, John Park, Andrew Cheong, Nick Handel, Patrick Yoon, Eli Brumbaugh, Nikhil Simha, Jeff Feng, Mani Bhushan, Conglei Shi, Jack Hone, Alfredo Luque, Michelle Gu-Qian Du, Atul Kale, Shi-Jing Yao, Kyle Schiller, Xiao Han T. Zeng, Brad Hunter
Publikováno v:
DSAA
With the increasing need to build systems and products powered by machine learning inside organizations, it is critical to have a platform that provides machine learning practitioners with a unified environment to easily prototype, deploy, and mainta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f17c969f8184ff8ff8dacb06ee161fa
https://doi.org/10.1109/dsaa.2019.00070
https://doi.org/10.1109/dsaa.2019.00070
Autor:
Xiao Han T. Zeng, James C. Gibson, Daniel Kirsche, Jae Young Chung, Derrick C. Spell, Ling-Yong Wang, Bahador Nooraei, Richard T. Shomer
Publikováno v:
IEEE BigData
As machine learning becomes the driving force of the daily operation of companies within the information technology sector, infrastructure that enables automated, scalable machine learning is a core component of the systems of many large companies. V
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::884453c98daa038705c0468cd7179b1d
https://doi.org/10.1109/bigdata.2017.8258089
https://doi.org/10.1109/bigdata.2017.8258089
Autor:
Bahador Nooraei, Richard T. Shomer, Daniel Kirsche, Ling-Yong Wang, Derrick C. Spell, Kai-Chen Cheng, Jae Young Chung, Xiao Han T. Zeng, Jarrell Waggoner
Publikováno v:
IEEE BigData
In today's technology industry where machine learning has become essential, the effectiveness of algorithms ultimately depends on a robust data pipeline, and fast model prototyping and tuning require easy feature discovery and consumption. Careful ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2665ca2cf58a29f0d77aa402849287cc
https://doi.org/10.1109/bigdata.2016.7840776
https://doi.org/10.1109/bigdata.2016.7840776
Publikováno v:
RoboCup 2001: Robot Soccer World Cup V ISBN: 9783540439127
RoboCup
RoboCup
One of the most important problems for development of intelligent agents is adaptation to the environment. In this paper we briefly describe Helli-Respina soccer simulator team that uses a new self-adaptive method named Dynamic Multi-Behavior Assessm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffe49722439c4fb176eeb6f970c854bf
https://doi.org/10.1007/3-540-45603-1_73
https://doi.org/10.1007/3-540-45603-1_73
