In multi-label learning,the label-specific features learning framework can effectively solve the dimensional catastrophe problem brought by high-dimensional data.The classification performance and robustness of the mo...In multi-label learning,the label-specific features learning framework can effectively solve the dimensional catastrophe problem brought by high-dimensional data.The classification performance and robustness of the model are effectively improved.Most existing label-specific features learning utilizes the cosine similarity method to measure label correlation.It is well known that the correlation between labels is asymmetric.However,existing label-specific features learning only considers the private features of labels in classification and does not take into account the common features of labels.Based on this,this paper proposes a Causality-driven Common and Label-specific Features Learning,named CCSF algorithm.Firstly,the causal learning algorithm GSBN is used to calculate the asymmetric correlation between labels.Then,in the optimization,both l_(2,1)-norm and l_(1)-norm are used to select the corresponding features,respectively.Finally,it is compared with six state-of-the-art algorithms on nine datasets.The experimental results prove the effectiveness of the algorithm in this paper.展开更多
We report comprehensive angle-resolved photoemission investigations on the electronic structures and nematicity of the parent compounds of the iron-based superconductors including CeFeAsO, BaFe2As2, NaFeAs, FeSe and u...We report comprehensive angle-resolved photoemission investigations on the electronic structures and nematicity of the parent compounds of the iron-based superconductors including CeFeAsO, BaFe2As2, NaFeAs, FeSe and undoped FeSe/SrTiO3 films with 1, 2 and 20 layers. While the electronic structure near tile Brillouin zone center F varies dramatically among different materials, the electronic structure near the Brillouin zone corners （M points）, as well as their temperature dependence, are rather similar. The electronic structure near the zone corners is dominated by the electronic nematicity that gives rise to a band splitting of the dxz and dyz bands below the nematie transition temperature. A clear relation is observed between the band splitting magnitude arid the onset temperature of nematicity. Our results may shed light on the origin of nematicity, its effect on the electronic structures, and its relation with superconductivity in the iron-based superconductors.展开更多
Prolyl oligopeptidase (POP) is a cytosolic enzyme involved in the metabolism of many peptide hormones and neuropeptides (1). It was recently reported that POP is responsible
The general frame for the system of intelligence science was proposed, the common features of the researching objects of the intelligence science were summarized. The intelligence science consists of three portions: s...The general frame for the system of intelligence science was proposed, the common features of the researching objects of the intelligence science were summarized. The intelligence science consists of three portions: scientific foundation, technical methodology and application fields. The common features of intelligence science include complexity, intersection, nonlinearity, anthropomorphic property, uncertainty, incompleteness and distribution etc. The new proposed scientific branch would reflect the new height, new thought and new way for developing the control science and intelligent systems from one angle, and present a strong wish for establishing a new branch of intelligence science.展开更多
基金2022 University Research Priorities,No.2022AH051989.
文摘In multi-label learning,the label-specific features learning framework can effectively solve the dimensional catastrophe problem brought by high-dimensional data.The classification performance and robustness of the model are effectively improved.Most existing label-specific features learning utilizes the cosine similarity method to measure label correlation.It is well known that the correlation between labels is asymmetric.However,existing label-specific features learning only considers the private features of labels in classification and does not take into account the common features of labels.Based on this,this paper proposes a Causality-driven Common and Label-specific Features Learning,named CCSF algorithm.Firstly,the causal learning algorithm GSBN is used to calculate the asymmetric correlation between labels.Then,in the optimization,both l_(2,1)-norm and l_(1)-norm are used to select the corresponding features,respectively.Finally,it is compared with six state-of-the-art algorithms on nine datasets.The experimental results prove the effectiveness of the algorithm in this paper.
基金Supported by the National Natural Science Foundation of China under Grant Nos 11190022,11334010 and 11534007the National Basic Research Program of China under Grant No 2015CB921000the Strategic Priority Research Program(B)of Chinese Academy of Sciences under Grant No XDB07020300
文摘We report comprehensive angle-resolved photoemission investigations on the electronic structures and nematicity of the parent compounds of the iron-based superconductors including CeFeAsO, BaFe2As2, NaFeAs, FeSe and undoped FeSe/SrTiO3 films with 1, 2 and 20 layers. While the electronic structure near tile Brillouin zone center F varies dramatically among different materials, the electronic structure near the Brillouin zone corners （M points）, as well as their temperature dependence, are rather similar. The electronic structure near the zone corners is dominated by the electronic nematicity that gives rise to a band splitting of the dxz and dyz bands below the nematie transition temperature. A clear relation is observed between the band splitting magnitude arid the onset temperature of nematicity. Our results may shed light on the origin of nematicity, its effect on the electronic structures, and its relation with superconductivity in the iron-based superconductors.
文摘Prolyl oligopeptidase (POP) is a cytosolic enzyme involved in the metabolism of many peptide hormones and neuropeptides (1). It was recently reported that POP is responsible
基金Projects (60234030 60404021) supported by the National Natural Science Foundation of China
文摘The general frame for the system of intelligence science was proposed, the common features of the researching objects of the intelligence science were summarized. The intelligence science consists of three portions: scientific foundation, technical methodology and application fields. The common features of intelligence science include complexity, intersection, nonlinearity, anthropomorphic property, uncertainty, incompleteness and distribution etc. The new proposed scientific branch would reflect the new height, new thought and new way for developing the control science and intelligent systems from one angle, and present a strong wish for establishing a new branch of intelligence science.
