Titlebook: Quantenoptik, Laser, nichtlineare Optik; Hermann Haken Book 1975 Westdeutscher Verlag GmbH, Opladen 1975 Atome.Laser.Optik.Photon.Quanteno

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书目名称Quantenoptik, Laser, nichtlineare Optik影响因子(影响力)




书目名称Quantenoptik, Laser, nichtlineare Optik影响因子(影响力)学科排名




书目名称Quantenoptik, Laser, nichtlineare Optik网络公开度




书目名称Quantenoptik, Laser, nichtlineare Optik网络公开度学科排名




书目名称Quantenoptik, Laser, nichtlineare Optik被引频次




书目名称Quantenoptik, Laser, nichtlineare Optik被引频次学科排名




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书目名称Quantenoptik, Laser, nichtlineare Optik年度引用学科排名




书目名称Quantenoptik, Laser, nichtlineare Optik读者反馈




书目名称Quantenoptik, Laser, nichtlineare Optik读者反馈学科排名

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Overview: 978-3-531-08248-6978-3-322-90047-0

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Rheinisch-Westfälische Akademie der Wissenschaftenhttp://image.papertrans.cn/q/image/780710.jpg

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https://doi.org/10.1007/978-3-322-90047-0Atome; Laser; Optik; Photon; Quantenoptik; nichtlineare Optik

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Quantenoptik, Laser, nichtlineare Optik,Die Quantenoptik ist ein sehr junges Gebiet der Physik. Sie entstand aus dem Streben der Wissenschaftler, die Natur des Lichts zu enträtseln. Neben faszinierenden Einblicken in die Naturgeheimnisse ergaben sich dabei auch revolutionierende technische Anwendungen. In meinem Vortrag möchte ich näher auf diese beiden Aspekte eingehen.

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,Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt Verbalizer, a verbalizer which constructs a mapping between label space and label word space, prompt-tuning can achieve excellent results in few-shot scenarios. However, typical prompt-tuning needs a manually designed verbalizer which requires domain expertise and human efforts. And the insufficient label spac

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The Metabolism of Antineoplastic Triazenes,es without showing satisfactory promise in the treatment of human malignancies. However, 1-aryl-3,3-dialkyltriazenes are certainly very interesting experimental agents. In particular, studies of their metabolism have furnished a marked contribution to our understanding of the link between xenobioche

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https://doi.org/10.1007/978-3-662-42992-1ilar to nearest-neighbor classification from machine learning, except we transform nearest-neighbor distances into a coreness prediction via a regression function, and we learn an appropriate distance function through a new optimization formulation that solves a large-scale linear programming proble

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Spotting the Training Need and Getting SMART,ning need. All too often we look at what we think the learner needs and forget to check that that really is what is missing. But we must look beyond the obvious symptoms of a lack of skill and uncover the root causes, be they a lack of skill, lack of time, or lack of communication.