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相关概念视频

Language and Cognition01:27

Language and Cognition

704
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
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Language Development01:22

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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
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Improving Translational Accuracy02:07

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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EvolCAF:使用大型语言模型进行自动成本意识获取功能设计.

Yiming Yao1,2,3, Fei Liu4,3, Ji Cheng5,3

  • 1City University of Hong Kong (Dongguan), Dongguan 523000, China.

Evolutionary computation
|January 8, 2026
PubMed
概括
此摘要是机器生成的。

本研究介绍了EvolCAF,一个使用大语言模型 (LLM) 和进化计算 (EC) 的框架,用于自动设计贝叶斯优化 (BO) 的成本意识的获取函数 (AF). EvolCAF有效地创建有效的AF,优于人类设计的方法.

关键词:
具有成本意识的贝叶斯优化收购功能 收购功能进化计算是一种进化计算.大型语言模型.

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科学领域:

  • 人工智能的人工智能
  • 机器学习 机器学习
  • 优化优化 优化优化

背景情况:

  • 具有成本意识的贝叶斯优化 (BO) 对于具有昂贵,可变的评估成本的问题至关重要.
  • 设计高效的成本意识的采购功能 (AF) 是BO的一个主要挑战.
  • 手动设计的AF需要大量的专业知识和努力.

研究的目的:

  • 引入EvolCAF,这是一个用于自动设计成本意识获取函数 (AFs) 的新框架.
  • 为AF设计利用大型语言模型 (LLM) 和进化计算 (EC).
  • 在AF开发中减少对领域专业知识和手动试错的依赖.

主要方法:

  • EvolCAF将LLM与EC集成在一起,自动设计成本意识的AF.
  • 该框架利用了算法空间中的交叉和突变等进化概念.
  • 它分析了AF设计的历史数据,替代模型和预算信息.

主要成果:

  • 由EvolCAF设计的最佳AF有效地利用了可用的信息 (数据,模型,预算).
  • 由EvolCAF设计的AF引入了以前研究中未见的新概念.
  • 与EIpu和EI-cool.cool相比,这种方法在各种任务中表现出了显著的效率和通用性.

结论:

  • EvolCAF为设计成本意识的采购功能提供了一个新的范式.
  • 该框架自动化了AF设计,减少了手工工作和领域专业知识的要求.
  • 以EvolCAF设计的AF在成本意识的贝叶斯优化中显示出卓越的性能和可解释性.