Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Eric Tinsley"'
Autor:
Jon Sligh, Anand Krishnan, Jean Bandos, Jason Depasquale, Mathew J. Palakal, Heather Bush, Natalie Crohn, Eric Tinsley
Publikováno v:
BIBE
Literature pertaining to geriatric care contains rich information regarding the best practices related to geriatric health care issues. The publication domain of geriatric care is small as compared to other health related areas, however, there are ov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a11c44f1497c4d41931aaf4831761dd5
https://doi.org/10.1109/bibe.2014.44
https://doi.org/10.1109/bibe.2014.44
Autor:
Anand Krishnan, Saeed Mehrabi, Jon Sligh, Heather Bush, Natalie Crohn, Eric Tinsley, Jean Bandos, Mathew J. Palakal, Jason Depasquale
Publikováno v:
ICMLA (1)
Event extraction is a key step in many text-mining applications such as question-answering, information extraction and summarization systems. In this study we used conditional random field (CRF) to extract causal events from PubMed articles related t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ff501d73312cee74fcd7f800f1f2413
https://doi.org/10.1109/icmla.2013.69
https://doi.org/10.1109/icmla.2013.69
Autor:
Sandeep Raghuram, Jiaqi Ge, Eric Tinsley, Mathew J. Palakal, Josette Jones, Dave Pecenka, Yuni Xia, Jerry Geesaman, Jean Bandos
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783642201516
DASFAA (2)
DASFAA (2)
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically construct Bayesian networks from massive text or literature data. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3c07353d0acb5bcb4ac66f4c7394086
https://doi.org/10.1007/978-3-642-20152-3_37
https://doi.org/10.1007/978-3-642-20152-3_37
Publikováno v:
SIGCSE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b6acba8fba41bdf15dace8e7bcad42c
https://doi.org/10.1145/169073.169542
https://doi.org/10.1145/169073.169542