Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kai Wei Sun"'
Publikováno v:
The European Physical Journal B. 94
In this work, zero-temperature phase diagrams of cuprates with Ba $$_2$$ CuO $$_3$$ -type CuO chain structure are investigated. The projective symmetry group analysis is employed in the strong coupling limit, and the one-loop renormalization group wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5503a5d3d3e487f4c7bf6738c569f0ba
https://doi.org/10.1140/epjb/s10051-021-00244-2
https://doi.org/10.1140/epjb/s10051-021-00244-2
Autor:
Chong Ho Lee, Kai Wei Sun
Publikováno v:
Neurocomputing. 266:375-389
Multi-label learning is concerned with learning from data examples that are represented by a single feature vector while associated with multiple labels simultaneously. Existing multi-label learning approaches mainly focus on exploiting label correla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e44ef34ce48cbfb59572df069f38e78
https://doi.org/10.1016/j.neucom.2017.05.049
https://doi.org/10.1016/j.neucom.2017.05.049
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 28:2438-2451
Multilabel classification is prevalent in many real-world applications where data instances may be associated with multiple labels simultaneously. In multilabel classification, exploiting label correlations is an essential but nontrivial task. Most o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4fafb8bc78364d98676d0107e9724f3
https://doi.org/10.1109/tkde.2016.2566621
https://doi.org/10.1109/tkde.2016.2566621
Publikováno v:
The European Physical Journal D. 71
This paper will investigate a four-stroke quantum heat engine based on the Tavis-Cummings model. The cycle of the heat engine is similar to the Otto cycle in classical thermodynamics. The relationship between output power as well as cycle efficiency
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ecfbff7c122ef8250ac146b7b200403
https://doi.org/10.1140/epjd/e2017-80101-3
https://doi.org/10.1140/epjd/e2017-80101-3
Publikováno v:
Journal of Electronics & Information Technology. 35:2425-2431
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b99c58857ef58d397e0a19b8e6120f37
https://doi.org/10.3724/sp.j.1146.2012.01171
https://doi.org/10.3724/sp.j.1146.2012.01171
Publikováno v:
SMC
Hyper network is a probabilistic graphic model of learning and memory inspired by biomolecular networks, which is very useful for discovering higher-order correlations among multiple attributes. However, as many traditional machine learning algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c614ca5ecab7fa5d958ebb631c34f39c
https://doi.org/10.1109/smc.2013.324
https://doi.org/10.1109/smc.2013.324
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 29:1550020
Multi-label classification has attracted significant attentions in machine learning. In multi-label classification, exploiting correlations among labels is an essential but nontrivial task. First, labels may be correlated in various degrees. Second,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e639f0ac7f13271d758f99b34f6b230
https://doi.org/10.1142/s0218001415500202
https://doi.org/10.1142/s0218001415500202