Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Zhonghang Xia"'
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-13 (2020)
Abstract Background Post-database search is a key procedure in peptide identification with tandem mass spectrometry (MS/MS) strategies for refining peptide-spectrum matches (PSMs) generated by database search engines. Although many statistical and ma
Externí odkaz:
https://doaj.org/article/ae96654606ba4755a5c42eb5a1ae8ed4
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 2, Iss 5, Pp 17-23 (2004)
Due to the high connectivity and great convenience, many E-commerce application systems have a high transaction volume. Consequently, the system state changes rapidly and it is likely that customers issue transactions based on out-of-date state infor
Externí odkaz:
https://doaj.org/article/cbfb7d52b90f4f649512968c688563e5
Publikováno v:
Intelligent Data Analysis. 26:379-405
Ordinal regression has been widely used in applications, such as credit portfolio management, recommendation systems, and ecology, where the core task is to predict the labels on ordinal scales. Due to its learning efficiency, online ordinal regressi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bba5f0d445207f2f342ec4029443796f
https://doi.org/10.3233/ida-205613
https://doi.org/10.3233/ida-205613
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-13 (2020)
BMC Genomics
BMC Genomics
Background Post-database search is a key procedure in peptide identification with tandem mass spectrometry (MS/MS) strategies for refining peptide-spectrum matches (PSMs) generated by database search engines. Although many statistical and machine lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1214e510078bb845a2b8bf2c16be03b
http://link.springer.com/article/10.1186/s12864-020-6693-y
http://link.springer.com/article/10.1186/s12864-020-6693-y
Publikováno v:
Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d5758186249a73335c350f972d7fb97
https://doi.org/10.1145/3545947.3576297
https://doi.org/10.1145/3545947.3576297
Publikováno v:
Computers, Materials & Continua. 61:1233-1244
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d53db9a0c047a18871429653ec625447
https://doi.org/10.32604/cmc.2019.06118
https://doi.org/10.32604/cmc.2019.06118
Publikováno v:
Mathematical Problems in Engineering, Vol 2020 (2020)
Due to its wide applications and learning efficiency, online ordinal regression using perceptron algorithms with interval labels (PRIL) has been increasingly applied to solve ordinal ranking problems. However, it is still a challenge for the PRIL met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d10d6699fd05ee6b4f316d02f8695bda
Additional file 1 Additional results. The derivation of iteration formulae of OLCS-Ranker and some additional results.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11ea3a2faf135f2236a425ede69e52ff
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 13:804-809
SEQUEST is a database-searching engine, which calculates the correlation score between observed spectrum and theoretical spectrum deduced from protein sequences stored in a flat text file, even though it is not a relational and object-oriental reposi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e1d5b3c81ee3c0cd3f81aea9375845c
https://doi.org/10.1109/tcbb.2015.2480084
https://doi.org/10.1109/tcbb.2015.2480084
Publikováno v:
Knowledge and Information Systems. 49:975-1004
Collaborative filtering (CF) approaches have been widely been employed in e-commerce to help users find items they like. Whereas most of existing work focuses on improving algorithmic performance, it is important to know whether the recommendation fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e0a22bb62b828c0ae089171221f095d
https://doi.org/10.1007/s10115-016-0920-5
https://doi.org/10.1007/s10115-016-0920-5