Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Koby Crammer"'
Autor:
Shai Netser, Guy Nahardiya, Gili Weiss-Dicker, Roei Dadush, Yizhaq Goussha, Shanah Rachel John, Mor Taub, Yuval Werber, Nir Sapir, Yossi Yovel, Hala Harony-Nicolas, Joseph D. Buxbaum, Lior Cohen, Koby Crammer, Shlomo Wagner
Publikováno v:
BMC Biology, Vol 20, Iss 1, Pp 1-20 (2022)
Abstract Background Various mammalian species emit ultrasonic vocalizations (USVs), which reflect their emotional state and mediate social interactions. USVs are usually analyzed by manual or semi-automated methodologies that categorize discrete USVs
Externí odkaz:
https://doaj.org/article/27d47b317c6a421bac834d8a41f40079
Publikováno v:
PLoS Computational Biology, Vol 3, Iss 3, p e54 (2007)
Most ab initio gene predictors use a probabilistic sequence model, typically a hidden Markov model, to combine separately trained models of genomic signals and content. By combining separate models of relevant genomic features, such gene predictors c
Externí odkaz:
https://doaj.org/article/06d42aa27f0d4a82a6c4df2f45f55cdb
Publikováno v:
Hangfeng He
In this paper, we introduce Target-Aware Weighted Training (TAWT), a weighted training algorithm for cross-task learning based on minimizing a representation-based task distance between the source and target tasks. We show that TAWT is easy to implem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bdf7725b86a3bb60327f47c16746099
Autor:
Heather Griffis, Kate Fitzpatrick, Antonio Gasparrini, Koby Crammer, Jing Huang, Jeffrey S. Morris, Gregory E. Tasian, Xi Wang, Brian T. Fisher, Vicky Tam, Lihai Song, Arushi Jain, Jason Kaufman, David T. Rubin
Publikováno v:
JAMA Network Open
Key Points Question How is the instantaneous reproduction number of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) associated with social distancing, wet-bulb temperature, and population density in counties across the United States? Fin
Autor:
Gregory E. Tasian, Jing Huang, Vicky Tam, Xi Wang, Brian T. Fisher, Heather Griffis, Jason Kaufman, Koby Crammer, Kate Fitzpatrick, Lihai Song, Antonio Gasparrini, David T. Rubin, Arushi Jain
Publikováno v:
Jama Network Open
ImportanceThe Covid-19 pandemic has been marked by considerable heterogeneity in outbreaks across the United States. Local factors that may be associated with variation in SARS-CoV-2 transmission have not been well studied.ObjectiveTo examine the ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f98b7974ee51aaec91cb15ca348cf9dd
https://doi.org/10.1101/2020.05.08.20094474
https://doi.org/10.1101/2020.05.08.20094474
Publikováno v:
Speech Communication. 99:1-11
Mobile devices are widely used around the world, frequently by people speaking local languages or dialects that are not well documented. For these languages, it might not be beneficial for commercial companies to develop Automatic Speech Recognition
Publikováno v:
Machine Learning. 99:411-435
Online learning algorithms are fast, memory-efficient, easy to implement, and applicable to many prediction problems, including classification, regression, and ranking. Several online algorithms were proposed in the past few decades, some based on ad
Autor:
Edward Moroshko, Koby Crammer
Publikováno v:
Theoretical Computer Science. 558:107-124
In online learning the performance of an algorithm is typically compared to the performance of a fixed function from some class, with a quantity called regret. Forster [12] proposed a last-step min–max algorithm which was somewhat simpler than the
Autor:
Edward Moroshko, Koby Crammer
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783319712451
ECML/PKDD (2)
ECML/PKDD (2)
Many online regression (and adaptive filtering) algorithms are linear, use additive update and designed for the noise-free setting. We consider the practical setting where the algorithm’s feedback is noisy, rather than a clean label. We propose a n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ed49ca2b9c8276e10c81b3a1bc5d893
https://doi.org/10.1007/978-3-319-71246-8_22
https://doi.org/10.1007/978-3-319-71246-8_22
Publikováno v:
SIGIR
A fundamental task in Information Retrieval (IR) is term weighting. Early IR theory considered both the presence or absence of all terms in the lexicon for ranking and needed to weight them all. Yet, as the size of lexicons grew and models became too