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相关概念视频

Trial and Error and Algorithm01:12

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A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
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Integration by Parts: Indefinite Integrals01:26

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Integration by parts is a fundamental technique in calculus for evaluating integrals involving the product of two functions. It is particularly useful when direct integration is not feasible. The method is based on the product rule for differentiation, which states that the derivative of a product equals the derivative of the first function times the second, plus the first function times the derivative of the second. By integrating this identity and rearranging terms, the integration by parts...
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Definite integrals involving the product of two functions over a fixed interval can be evaluated using integration by parts. This method rewrites the integral as the difference of a product evaluated at the endpoints and a remaining definite integral that is often simpler to compute.A representative example is the definite integral of the inverse tangent function. Since there is no direct integration formula for arctan ⁡x, the integrand is rewritten as a product of arctan⁡ x and the...
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A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
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ATP-driven pumps, also known as transport ATPases, are integral membrane proteins. They have binding sites for ATP located on the membrane's cytosolic side and the ion-conducting domain in the transmembrane region. These pumps use the free energy released from ATP hydrolysis to move the solutes across cell membranes against an electrochemical gradient.
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Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
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通过数据驱动的算法分配改善难民的整合

Kirk Bansak1,2, Jeremy Ferwerda2,3, Jens Hainmueller1,2,4

  • 1Department of Political Science, Stanford University, Stanford, CA 94305, USA.

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此摘要是机器生成的。

一个新的算法通过使用机器学习将个人与重新安置地点相匹配, 这种以数据为导向的方法显著提高了就业成果,为政府提供了实际的政策工具.

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科学领域:

  • 计算社会科学
  • 机器学习应用
  • 移民社会学

背景情况:

  • 发达的民主国家正在重新安置越来越多的难民.
  • 难民融入接待社会面临重大挑战.
  • 目前的重新安置分配做法可能无法优化整合结果.

研究的目的:

  • 开发和评估数据驱动的算法,用于将难民分配到重新安置地点.
  • 改善难民融入的结果,特别是就业.
  • 为政府提供实用且具有成本效益的政策工具.

主要方法:

  • 开发了一种灵活的数据驱动算法,结合了监督机器学习和最佳匹配.
  • 利用难民特征和重新安置地点的协同作用.
  • 在美国和瑞士的历史注册数据上测试算法.

主要成果:

  • 算法显示难民就业率有显著改善,平均为40%至70%.
  • 这些收益与研究国家现有的分配实践相比.
  • 这种方法在不同分配制度和难民群体中被证明有效.

结论:

  • 开发的算法提供了一种实用且具有成本效益的方法来加强难民的融入.
  • 基于数据的方法可以在现有政府结构中轻松实施.
  • 这种工具有可能大大改善重新安置难民的就业前景.