Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Gerber, Matthew S."'
Humans are spectacular reinforcement learners, constantly learning from and adjusting to experience and feedback. Unfortunately, this doesn't necessarily mean humans are fast learners. When tasks are challenging, learning can become unacceptably slow
Externí odkaz:
http://arxiv.org/abs/2002.10904
Autor:
Ameko, Mawulolo K., Cai, Lihua, Boukhechba, Mehdi, Daros, Alexander, Chow, Philip I., Teachman, Bethany A., Gerber, Matthew S., Barnes, Laura E.
Negative affect is a proxy for mental health in adults. By being able to predict participants' negative affect states unobtrusively, researchers and clinicians will be better positioned to deliver targeted, just-in-time mental health interventions vi
Externí odkaz:
http://arxiv.org/abs/1802.00029
Autor:
Kowsari, Kamran, Brown, Donald E., Heidarysafa, Mojtaba, Meimandi, Kiana Jafari, Gerber, Matthew S., Barnes, Laura E.
The continually increasing number of documents produced each year necessitates ever improving information processing methods for searching, retrieving, and organizing text. Central to these information processing methods is document classification, w
Externí odkaz:
http://arxiv.org/abs/1709.08267
Autor:
Gautier, Thibault, Ziegler, Leah B., Gerber, Matthew S., Campos-Náñez, Enrique, Patek, Stephen D.
Publikováno v:
In Metabolism November 2021 124
Publikováno v:
In Machine Learning with Applications 15 March 2021 3
Autor:
Cai, Lihua, Boukhechba, Mehdi, Gerber, Matthew S., Barnes, Laura E., Showalter, Shayna L., Cohn, Wendy F., Chow, Philip I.
Publikováno v:
In Smart Health March 2020 15
Autor:
Gong, Jiaqi, Huang, Yu, Chow, Philip I., Fua, Karl, Gerber, Matthew S., Teachman, Bethany A., Barnes, Laura E.
Publikováno v:
In Information Fusion September 2019 49:57-68
Publikováno v:
In Smart Health December 2018 9-10:219-231
Publikováno v:
In European Journal of Operational Research 16 January 2018 264(2):637-652