Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ryan Riegel"'
Publikováno v:
ICASSP
Parametrized machine learning models for inference often include non-linear and nonconvex constraints over the parameters and meta-parameters. Training these models to convergence is in general difficult, and naive methods such as projected gradient
Autor:
Sumit Neelam, Srinivas Ravishankar, Young-Suk Lee, Revanth Gangi Reddy, Salim Roukos, Mo Yu, Francois P. S. Luus, G. P. Shrivatsa Bhargav, Achille Fokoue, Dinesh Garg, Udit Sharma, Lucian Popa, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Alfio Gliozzo, Hima P. Karanam, Alexander G. Gray, Maria Chang, Cristina Cornelio, Dinesh Khandelwal, Tahira Naseem, Naweed Khan, Sairam Gurajada, Pavan Kapanipathi, Yunyao Li, Saswati Dana, Ramón Fernandez Astudillo, Ryan Riegel, Ndivhuwo Makondo, Gaetano Rossiello
Publikováno v:
ACL/IJCNLP (Findings)
Knowledge base question answering (KBQA)is an important task in Natural Language Processing. Existing approaches face significant challenges including complex question understanding, necessity for reasoning, and lack of large end-to-end training data
Autor:
Gordon T. Richards, Chelsea L. MacLeod, Christina M. Peters, Željko Ivezić, Nicholas P. Ross, Ryan Riegel, Kasper B. Schmidt, Michael A. Strauss, Adam D. Myers
We conduct a pilot investigation to determine the optimal combination of color and variability information to identify quasars in current and future multi-epoch optical surveys. We use a Bayesian quasar selection algorithm (Richards et al. 2004) to i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a4e41908fa54163113d6a484776ee5b
http://arxiv.org/abs/1508.04121
http://arxiv.org/abs/1508.04121
Publikováno v:
Advances in Machine Learning and Data Mining for Astronomy ISBN: 9781439841730
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::434ee7c4ad4cdb34b9a04eb98486e312
https://doi.org/10.1201/b11822-28
https://doi.org/10.1201/b11822-28
Publikováno v:
Proceedings of the 2008 SIAM International Conference on Data Mining.
Autor:
Alexander S. Szalay, Scott F. Anderson, Gordon T. Richards, Alexander G. Gray, Robert J. Brunner, Robert C. Nichol, Ryan Riegel, Adam D. Myers, Donald P. Schneider
Publikováno v:
Richards, G, Myers, A, Gray, A, Riegel, R, Nichol, B, Brunner, R, Szalay, A, Schneider, D & Anderson, S 2008, ' Efficient photometric selection of quasars from the Sloan Digital Sky Survey. II. ∼ 1,000,000 quasars from Data Release 6 ', The Astrophysical Journal Supplement Series, vol. 180, no. 1, pp. 67-83 . https://doi.org/10.1088/0067-0049/180/1/67
We present a catalog of 1,172,157 quasar candidates selected from the photometric imaging data of the Sloan Digital Sky Survey (SDSS). The objects are all point sources to a limiting magnitude of i = 21.3 from 8417 deg2 of imaging from SDSS Data Rele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ab43bdde51a8463ba62413864be4461
https://researchportal.port.ac.uk/portal/en/publications/efficient-photometric-selection-of-quasars-from-the-sloan-digital-sky-survey-ii--1000000-quasars-from-data-release-6(2c22818b-9c0b-4219-9f99-36ba25c75406).html
https://researchportal.port.ac.uk/portal/en/publications/efficient-photometric-selection-of-quasars-from-the-sloan-digital-sky-survey-ii--1000000-quasars-from-data-release-6(2c22818b-9c0b-4219-9f99-36ba25c75406).html
Autor:
Jonathan R. Trump, Nicholas P. Ross, Mark Lacy, Adam D. Myers, Xiaohui Fan, Coleman Krawczyk, Ian D. McGreer, Greg Chase, Linhua Jiang, Ryan Riegel, Christina M. Peters, Gordon T. Richards
Publikováno v:
Richards, G T, Myers, A D, Peters, C M, Krawczyk, C M, Chase, G, Ross, N P, Fan, X, Jiang, L, Lacy, M, McGreer, I D, Trump, J R & Riegel, R N 2015, ' Bayesian high-redshift quasar classification from optical and MID-IR photometry ', Astrophysical Journal, Supplement Series, vol. 219, no. 2, 39 . https://doi.org/10.1088/0067-0049/219/2/39
We identify 885,503 type 1 quasar candidates to i3.5 than the traditional mid-IR selection "wedges" and to 2.23. This catalog paves the way for luminosity-dependent clustering investigations of large numbers of faint, high-redshift quasars and for fu
Autor:
Christina M. Peters, Gordon T. Richards, Adam D. Myers, Michael A. Strauss, Kasper B. Schmidt, Željko Ivezic´, Nicholas P. Ross, Chelsea L. MacLeod, Ryan Riegel
Publikováno v:
Astrophysical Journal; 10/1/2015, Vol. 811 Issue 2, p1-1, 1p