Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Braden Hancock"'
Autor:
Volodymyr Kuleshov, Jialin Ding, Christopher Vo, Braden Hancock, Alexander Ratner, Yang Li, Christopher Ré, Serafim Batzoglou, Michael Snyder
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-8 (2019)
Most databases of genotype-phenotype associations are manually curated. Here, Kuleshov et al. describe a machine curation system that extracts such relationships from the GWAS literature and synthesizes them into a structured knowledge base called GW
Externí odkaz:
https://doaj.org/article/135413e32e4e44818c854af561c0bb48
Autor:
Alexander Ratner, Frederic Sala, Shreyash Pandey, Braden Hancock, Christopher Ré, Jared Dunnmon
Publikováno v:
AAAI
As machine learning models continue to increase in complexity, collecting large hand-labeled training sets has become one of the biggest roadblocks in practice. Instead, weaker forms of supervision that provide noisier but cheaper labels are often us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3833f9ee96646fa60b3afdc390e2a23b
https://doi.org/10.1609/aaai.v33i01.33014763
https://doi.org/10.1609/aaai.v33i01.33014763
Autor:
Braden Hancock, Volodymyr Kuleshov, Yang I. Li, Serafim Batzoglou, Jialin Ding, Alexander Ratner, Christopher Vo, Michael Snyder, Christopher Ré
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-8 (2019)
Nature Communications
Nature Communications
Tens of thousands of genotype-phenotype associations have been discovered to date, yet not all of them are easily accessible to scientists. Here, we describe GWASkb, a machine-compiled knowledge base of genetic associations collected from the scienti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26e2163e506cf323307808c28149a54e
http://link.springer.com/article/10.1038/s41467-019-11026-x
http://link.springer.com/article/10.1038/s41467-019-11026-x
Publikováno v:
ACL (1)
The majority of conversations a dialogue agent sees over its lifetime occur after it has already been trained and deployed, leaving a vast store of potential training signal untapped. In this work, we propose the self-feeding chatbot, a dialogue agen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3f60db2132318e3559d87aaa6d32abe
http://arxiv.org/abs/1901.05415
http://arxiv.org/abs/1901.05415
Autor:
Chong Luo, Rahul Kuchhal, Braden Hancock, Houman Alborzi, Alexander Ratner, Daniel Rodriguez, Christopher Ré, Haidong Shao, Stephen H. Bach, Yintao Liu, Souvik Sen, Cassandra Xia, Rob Malkin
Publikováno v:
SIGMOD Conference
Labeling training data is one of the most costly bottlenecks in developing machine learning-based applications. We present a first-of-its-kind study showing how existing knowledge resources from across an organization can be used as weak supervision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e643f7158a6a5a0f369e74978bf51f5b
http://arxiv.org/abs/1812.00417
http://arxiv.org/abs/1812.00417
Publikováno v:
DEEM@SIGMOD
Many real-world machine learning problems are challenging to tackle for two reasons: (i) they involve multiple sub-tasks at different levels of granularity; and (ii) they require large volumes of labeled training data. We propose Snorkel MeTaL, an en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e40371dd2c52f16fc7fdf5db0eda85e
https://doi.org/10.1145/3209889.3209898
https://doi.org/10.1145/3209889.3209898
Publikováno v:
WWW
Descriptive titles provide crucial context for interpreting tables that are extracted from web pages and are a key component of table-based web applications. Prior approaches have attempted to produce titles by selecting existing text snippets associ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1877a939f05e5380af7c713472f4deb1
Publikováno v:
ACL (1)
Training accurate classifiers requires many labels, but each label provides only limited information (one bit for binary classification). In this work, we propose BabbleLabble, a framework for training classifiers in which an annotator provides a nat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8e7e54d82f11c0ef8c71200fa617a02
Autor:
Christopher Ré, Theodoros Rekatsinas, Philip Levis, Xiao Cheng, Braden Hancock, Sen Wu, Luke Hsiao
We focus on knowledge base construction (KBC) from richly formatted data. In contrast to KBC from text or tabular data, KBC from richly formatted data aims to extract relations conveyed jointly via textual, structural, tabular, and visual expressions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44f010c479104066871d5c446b6e793d
Autor:
Braden Hancock, John P. Clark
Publikováno v:
Journal of Propulsion and Power. 30:1248-1256
In a high-pressure turbine that is used in combination with a contrarotating low-pressure turbine, the geometry of the low-pressure turbine guide vane gives rise to a shock reflection that has a significant impact on the upstream blade. In consequenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d711328eae0bcb4c5425c4425b6193a5
https://doi.org/10.2514/1.b35027
https://doi.org/10.2514/1.b35027