Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Tony, Jebara"'
Publikováno v:
PLoS ONE, Vol 14, Iss 6, p e0218183 (2019)
The blooms of Noctiluca in the Gulf of Oman and the Arabian Sea have been intensifying in recent years, posing now a threat to regional fisheries and the long-term health of an ecosystem supporting a coastal population of nearly 120 million people. W
Externí odkaz:
https://doaj.org/article/6fd2f59ac80641c49c703919aa4a1504
Autor:
Himan Abdollahpouri, Zahra Nazari, Alex Gain, Clay Gibson, Maria Dimakopoulou, Jesse Anderton, Benjamin Carterette, Mounia Lalmas, Tony Jebara
Publikováno v:
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70414f6eb98e187b2500e1693c67fb54
https://doi.org/10.1145/3539597.3570402
https://doi.org/10.1145/3539597.3570402
Autor:
Rafael Yuste, Shuting Han, Darik A. O’Neil, Tony Jebara, Luis Carrillo-Reid, Ekaterina Taralova
Publikováno v:
J Neurosci
Neuronal ensembles are groups of neurons with coordinated activity that could represent sensory, motor, or cognitive states. The study of how neuronal ensembles are built, recalled, and involved in the guiding of complex behaviors has been limited by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5aa6f2a17571e107eb0376e9d112e88
https://doi.org/10.1523/jneurosci.0051-21.2021
https://doi.org/10.1523/jneurosci.0051-21.2021
Autor:
Praveen Chandar, Brian St. Thomas, Lucas Maystre, Vijay Pappu, Roberto Sanchis-Ojeda, Tiffany Wu, Ben Carterette, Mounia Lalmas, Tony Jebara
Publikováno v:
Proceedings of the ACM Web Conference 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f231b0e964ac68c73b72ed672ba27c7b
https://doi.org/10.1145/3485447.3512038
https://doi.org/10.1145/3485447.3512038
Publikováno v:
RecSys
As machine learning methods are increasingly used in interactive systems it becomes common for user experiences to be the result of an ecosystem of machine learning models in aggregate. Simulation offers a way to deal with the resulting complexity by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04bb56a32977aa99faaa29a16ff48103
https://doi.org/10.1145/3460231.3474259
https://doi.org/10.1145/3460231.3474259
Publikováno v:
WSDM
The Sparse Linear Method (SLIM) is a well-established approach for top-N recommendations. This article proposes several improvements that are enabled by the Alternating Directions Method of Multipliers (ADMM), a well-known optimization method with ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98853107456d30a597e94554e59d9312
https://doi.org/10.1145/3336191.3371774
https://doi.org/10.1145/3336191.3371774
Publikováno v:
IJCAI
We introduce a new Thompson sampling-based algorithm, called marginal posterior sampling, for online slate bandits, that is characterized by three key ideas. First, it postulates that the slate-level reward is a monotone function of the marginal unob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8153ace61afa60a6bce1e3b329d3e5eb
https://doi.org/10.24963/ijcai.2019/308
https://doi.org/10.24963/ijcai.2019/308
Publikováno v:
PLoS ONE
PLoS ONE, Vol 14, Iss 6, p e0218183 (2019)
PLoS ONE, Vol 14, Iss 6, p e0218183 (2019)
The blooms of Noctiluca in the Gulf of Oman and the Arabian Sea have been intensifying in recent years, posing now a threat to regional fisheries and the long-term health of an ecosystem supporting a coastal population of nearly 120 million people. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5712b275e539d7e131d805ffca54f8f0
https://pubmed.ncbi.nlm.nih.gov/31194825
https://pubmed.ncbi.nlm.nih.gov/31194825
Publikováno v:
Log-Linear Models, Extensions, and Applications ISBN: 9780262351607
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8507f3099c452af3e7d51598fdaff792
https://doi.org/10.7551/mitpress/10012.003.0004
https://doi.org/10.7551/mitpress/10012.003.0004
Autor:
Giannis Karamanolakis, Da Tang, Kevin Raji Cherian, Tony Jebara, Jie Yuan, Ananth Ravi Narayan
Publikováno v:
DLRS@RecSys
In recent years, Variational Autoencoders (VAEs) have been shown to be highly effective in both standard collaborative filtering applications and extensions such as incorporation of implicit feedback. We extend VAEs to collaborative filtering with si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b23fc646ec9f3f27cf42f9cb56d2c90
https://doi.org/10.1145/3270323.3270329
https://doi.org/10.1145/3270323.3270329