Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Adji B Dieng"'
Publikováno v:
PLoS ONE, Vol 13, Iss 4, p e0195024 (2018)
Hospital readmission costs a lot of money every year. Many hospital readmissions are avoidable, and excessive hospital readmissions could also be harmful to the patients. Accurate prediction of hospital readmission can effectively help reduce the rea
Externí odkaz:
https://doaj.org/article/9963cd95470a4841ad8109c72e2a3a48
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 8, Pp 439-453 (2020)
Topic modeling analyzes documents to learn meaningful patterns of words. However, existing topic models fail to learn interpretable topics when working with large and heavy-tailed vocabularies. To this end, we develop the Embedded Topic Model (ETM),
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a365570870f777b490d36dc51dc1806
https://www.mitpressjournals.org/doi/abs/10.1162/tacl_a_00325
https://www.mitpressjournals.org/doi/abs/10.1162/tacl_a_00325
Publikováno v:
Nano letters. 20(11)
Anisotropic dielectric tensors of uniaxial van der Waals (vdW) materials are difficult to investigate at infrared frequencies. The small dimensions of high-quality exfoliated crystals prevent the use of diffraction-limited spectroscopies. Near-field
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d21b26a222fcc5d25d41738ced9d755
https://pubmed.ncbi.nlm.nih.gov/32936662
https://pubmed.ncbi.nlm.nih.gov/32936662
Publikováno v:
PLoS ONE, Vol 13, Iss 4, p e0195024 (2018)
PLoS ONE
PLoS ONE
Objective Hospital readmission costs a lot of money every year. Many hospital readmissions are avoidable, and excessive hospital readmissions could also be harmful to the patients. Accurate prediction of hospital readmission can effectively help redu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7e597670ed789b7a24156dc5b55d609
http://europepmc.org/articles/PMC5890980?pdf=render
http://europepmc.org/articles/PMC5890980?pdf=render
Autor:
Pande, Sanjay, Nagmote, Abha, Netanrao, Aditi, Bankar, Mayuri, Shinganjode, Nupur, Rajnale, Megha
Publikováno v:
Grenze International Journal of Engineering & Technology (GIJET); Jun2024, Vol. 10 Issue 2,Part 4, p5708-5713, 6p
Autor:
PAL, RATNABALI1 pal.ratnabali@gmail.com, SEKH, ARIF AHMED1 skarifahmed@gmail.com, DOGRA, DEBI PROSAD2 dpdogra@iitbbs.ac.in, KAR, SAMARJIT3 samarjit.kar@maths.nitdgp.ac.in, ROY, PARTHA PRATIM4 proy.fcs@iitr.ac.in, PRASAD, DILIP K.1 dilipprasad@gmail.com
Publikováno v:
ACM Computing Surveys. Jul2022, Vol. 54 Issue 6, p1-34. 34p.
Publikováno v:
ACM Transactions on Information Systems; Oct2023, Vol. 41 Issue 4, p1-23, 23p
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Sep2023, Vol. 17 Issue 8, p1-23, 23p
Autor:
MINAEE, SHERVIN1, KALCHBRENNER, NAL2, CAMBRIA, ERIK3, NIKZAD, NARJES4, CHENAGHLU, MEYSAM4, JIANFENG GAO5
Publikováno v:
ACM Computing Surveys. Apr2022, Vol. 54 Issue 3, p1-40. 40p.
Publikováno v:
Francisco J. R. Ruiz, Michalis K. Titsias, Adji B. Dieng, and David M. Blei. Augment and Reduce: Stochastic Inference for Large Categorical Distributions. International Conference on Machine Learning. Stockholm (Sweden), July 2018
Categorical distributions are ubiquitous in machine learning, e.g., in classification, language models, and recommendation systems. However, when the number of possible outcomes is very large, using categorical distributions becomes computationally e
Externí odkaz:
http://arxiv.org/abs/1802.04220
