Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Tuyen N. Huynh"'
Autor:
Chi N. Nguyen, Tuyen N. Huynh, Tien T. C. Cao, Lien-Hoa D. Nguyen, Ly T. T. Nguyen, Binh T.D. Trinh, Hieu T. Nguyen, Dzung N. Bui, Le-Thu T. Nguyen
Publikováno v:
Natural Product Research. 37:240-247
Two new triterpenoids, entanolide (1) and methyl 3,4-secotirucalla-23-oxo-4(28),7,24-trien-21-al-3-oate (2), together with nine known compounds (3-11), were isolated from the bark of Entandrophragma angolense. Their structures were elucidated based o
Autor:
Tuyen N. Huynh, Raymond J. Mooney
Publikováno v:
Proceedings of the 2011 SIAM International Conference on Data Mining.
Autor:
Raymond J. Mooney, Tuyen N. Huynh
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783642237829
ECML/PKDD (2)
ECML/PKDD (2)
Most existing learning methods for Markov Logic Networks (MLNs) use batch training, which becomes computationally expensive and eventually infeasible for large datasets with thousands of training examples which may not even all fit in main memory. To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7141c9b7a7874b005058c3cc05892e7b
https://doi.org/10.1007/978-3-642-23783-6_6
https://doi.org/10.1007/978-3-642-23783-6_6
Autor:
Tuyen N. Huynh
Statistical relational learning (SRL) is an emerging area of research that addresses the problem of learning from noisy structured/relational data. Markov logic networks (MLNs), sets of weighted clauses, are a simple but powerful SRL formalism that c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68cb5cddf2030de1cf3b7342dfd0020f
https://doi.org/10.21236/ada512664
https://doi.org/10.21236/ada512664
Autor:
Tuyen N. Huynh, Raymond J. Mooney
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783642041792
ECML/PKDD (1)
ECML/PKDD (1)
Markov logic networks (MLNs) are an expressive representation for statistical relational learning that generalizes both first-order logic and graphical models. Existing discriminative weight learning methods for MLNs all try to learn weights that opt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01efbdbc173537a55d9816a1e1ff56ac
https://doi.org/10.1007/978-3-642-04180-8_54
https://doi.org/10.1007/978-3-642-04180-8_54
Autor:
Raymond J. Mooney, Tuyen N. Huynh
Publikováno v:
ICML
Markov logic networks (MLNs) are an expressive representation for statistical relational learning that generalizes both first-order logic and graphical models. Existing methods for learning the logical structure of an MLN are not discriminative; howe