Zobrazeno 1 - 10
of 26
pro vyhledávání: '"James Whitaker"'
Introducción de un currículo de apoyo parental «enlazado» con base en el hogar: lecciones aprendidas
Autor:
Kate Guastaferro, Katy Miller, John R. Lutzker, Daniel James Whitaker, Jenelle Shanley Chatham, Betty S. Lai, Allison Kemner
Publikováno v:
Psychosocial Intervention, Vol 26, Iss 3, Pp 181-188 (2017)
Externí odkaz:
https://doaj.org/article/d1a3110fffc449759a80548f8d02e9bf
Publikováno v:
Frontiers in Oncology, Vol 6 (2016)
High risk human papilloma viruses (HPVs) may have a causal role in some breast cancers. Case control studies, conducted in many different countries, consistently indicate that HPVs are more frequently present in breast cancers as compared to benign b
Externí odkaz:
https://doaj.org/article/fe3aa3369a33428095a7e184d7f943e0
Autor:
James Sutherland Lawson, Wendy K Glenn, Daria eSalyakina, Rosemary eClay, Warick eDelprado, Barathi eCheerala, Dinh eTran, Christopher eNgan, Shingo eMiyauchi, Martha eKarim, Annika eAntonsson, Noel James Whitaker
Publikováno v:
Frontiers in Oncology, Vol 5 (2016)
Purpose: Women with human papilloma virus (HPV) associated cervical neoplasia have a higher risk of developing breast cancer than the general female population. The purpose of this study was to (i) identify high risk for cancer HPVs in cervical neopl
Externí odkaz:
https://doaj.org/article/671614ca19fb44c6b9d254add04a428b
Autor:
James Sutherland Lawson, Wendy K Glenn, Daria eSalyakina, Warick eDelprado, Rosemary eClay, Annika eAntonsson, Benjamin eHeng, Shingo eMiyauchi, Dinh D Tran, Christopher eNgan, Louise eLutze-mann, Noel James Whitaker
Publikováno v:
Frontiers in Oncology, Vol 5 (2015)
Purpose: Human papillomaviruses (HPV) may have a role in some breast cancers. The purpose of this study is to fill important gaps in the evidence. These gaps are: (i) confirmation of the presence of high risk for cancer HPVs in breast cancers, (ii) e
Externí odkaz:
https://doaj.org/article/2089289dbef044619a9e9bd96c75499c
Autor:
James Whitaker, Kaith K. Almefty
Publikováno v:
Contemporary Neurosurgery. 41:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7cecbb8d0665644ec73d26269aa1e1e
https://doi.org/10.1097/01.cne.0000554061.08341.31
https://doi.org/10.1097/01.cne.0000554061.08341.31
Publikováno v:
Deep Learning for NLP and Speech Recognition ISBN: 9783030145958
In deep learning networks, as we have seen in the previous chapters, there are good architectures for handling spatial and temporal data using various forms of convolutional and recurrent networks, respectively. When the data has certain dependencies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6422fcb5aa52f8d0cf74b175f400fad8
https://doi.org/10.1007/978-3-030-14596-5_9
https://doi.org/10.1007/978-3-030-14596-5_9
Publikováno v:
Deep Learning for NLP and Speech Recognition ISBN: 9783030145958
One of the most talked-about concepts in machine learning both in the academic community and in the media is the evolving field of deep learning. The idea of neural networks, and subsequently deep learning, gathers its inspiration from the biological
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ac4690961e3d42c63b4df2609bc361c
https://doi.org/10.1007/978-3-030-14596-5_4
https://doi.org/10.1007/978-3-030-14596-5_4
Publikováno v:
Deep Learning for NLP and Speech Recognition ISBN: 9783030145958
In the previous chapter, CNNs provided a way for neural networks to learn a hierarchy of weights, resembling that of n-gram classification on the text. This approach proved to be very effective for sentiment analysis, or more broadly text classificat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1841dced4d2d4145bcfba63a7383dc7f
https://doi.org/10.1007/978-3-030-14596-5_7
https://doi.org/10.1007/978-3-030-14596-5_7
Publikováno v:
Deep Learning for NLP and Speech Recognition ISBN: 9783030145958
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43f90760d37f349fe36056e4b0cdbb3c
https://doi.org/10.1007/978-3-030-14596-5_1
https://doi.org/10.1007/978-3-030-14596-5_1
Publikováno v:
Deep Learning for NLP and Speech Recognition ISBN: 9783030145958
In the last few years, convolutional neural networks (CNNs), along with recurrent neural networks (RNNs), have become a basic building block in constructing complex deep learning solutions for various NLP, speech, and time series tasks. LeCun first i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::194830e2689eb4cde4feb0e9ce366959
https://doi.org/10.1007/978-3-030-14596-5_6
https://doi.org/10.1007/978-3-030-14596-5_6