Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Eric Nalisnick"'
Publikováno v:
Annual Review of Statistics and Its Application. 10:219-246
We expose the statistical foundations of deep learning with the goal of facilitating conversation between the deep learning and statistics communities. We highlight core themes at the intersection; summarize key neural models, such as feedforward neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f7fd17cbca410a0d0ba3b8d96e0e16a
https://doi.org/10.1146/annurev-statistics-032921-013738
https://doi.org/10.1146/annurev-statistics-032921-013738
Publikováno v:
2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b79e0b503c280ad840d7932370df02f0
https://doi.org/10.1109/dsn-w54100.2022.00018
https://doi.org/10.1109/dsn-w54100.2022.00018
Cytometry is an important single cell analysis technology in furthering our understanding of cellular biological processes and in supporting clinical diagnoses across a variety hematological and immunological conditions. Current data analysis workflo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::636083c218cc6da55f05c573c02f607f
https://doi.org/10.1101/414904
https://doi.org/10.1101/414904
Publikováno v:
WWW (Companion Volume)
This paper investigates the popular neural word embedding method Word2vec as a source of evidence in document ranking. In contrast to NLP applications of word2vec, which tend to use only the input embeddings, we retain both the input and the output e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b406fc6cb8916b7461fc39c5703e231
https://doi.org/10.1145/2872518.2889361
https://doi.org/10.1145/2872518.2889361
Autor:
Eric Nalisnick, Henry S. Baird
Publikováno v:
ICDAR
Automatic methods for analyzing sentiment and its movement through a play's social network are investigated. From structured dialogue we can algorithmically determine who is speaking and guess at who is listening or being directly addressed. Knowing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d486854ea919b6fd638e6e1f0ae3e98c
https://doi.org/10.1109/icdar.2013.155
https://doi.org/10.1109/icdar.2013.155