Meander 发表于 2025-3-25 04:10:32
Vinay K. Chaudhri,Rahul Katragadda,Jeff Shrager,Michael Wesseliguration spaces which leads to a cellular model for the associated based and free loop spaces; the homology and cohomology of based and free loop spaces; and an illustration of how to apply the latter to the study of Hamiltonian systems of k-body type.978-3-642-63077-4978-3-642-56446-8Series ISSN 1439-7382 Series E-ISSN 2196-9922黄油没有 发表于 2025-3-25 11:32:01
Isabel F. Cruz,Francesco Loprete,Matteo Palmonari,Cosmin Stroe,Aynaz Taheriiguration spaces which leads to a cellular model for the associated based and free loop spaces; the homology and cohomology of based and free loop spaces; and an illustration of how to apply the latter to the study of Hamiltonian systems of k-body type.978-3-642-63077-4978-3-642-56446-8Series ISSN 1439-7382 Series E-ISSN 2196-9922低三下四之人 发表于 2025-3-25 13:49:44
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Zenun Kastrati,Ali Shariq Imranter simplified with the use of analytic methods, see Chap. 7. Even the most elegant geometric idea in this field, Dandelin spheres, had to wait another 2000 years before being discovered by a Belgian army engineer (G.P.Dandelin, 1794–1847). This discovery turned the presentation of conics upside dow纠缠,缠绕 发表于 2025-3-26 04:54:08
C. Maria Keetter simplified with the use of analytic methods, see Chap. 7. Even the most elegant geometric idea in this field, Dandelin spheres, had to wait another 2000 years before being discovered by a Belgian army engineer (G.P.Dandelin, 1794–1847). This discovery turned the presentation of conics upside dow向外 发表于 2025-3-26 09:04:51
Zubeida Casmod Khan,C. Maria Keetter simplified with the use of analytic methods, see Chap. 7. Even the most elegant geometric idea in this field, Dandelin spheres, had to wait another 2000 years before being discovered by a Belgian army engineer (G.P.Dandelin, 1794–1847). This discovery turned the presentation of conics upside dowFacilities 发表于 2025-3-26 14:19:33
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Relation Extraction from the Web Using Distant Supervision, boundaries. We reduce the noise caused by lexical ambiguity by employing statistical methods to strategically select training data. Our experiments show that using a more robust entity recognition approach and expanding the scope of relation extraction results in about 8 times the number of extract