augmentation distance

简明释义

扩增距离

英英释义

例句

1.For accurate measurements, the augmentation distance 增强距离 must be calibrated regularly.

为了准确测量，增强距离 augmentation distance必须定期校准。

2.The robot's navigation system calculates the augmentation distance 增强距离 to avoid obstacles.

机器人的导航系统计算增强距离 augmentation distance以避免障碍物。

3.In augmented reality, the augmentation distance 增强距离 determines how far virtual objects appear from the user.

在增强现实中，增强距离 augmentation distance决定虚拟物体与用户的距离。

4.The researchers found that the augmentation distance 增强距离 affects user perception in virtual environments.

研究人员发现，增强距离 augmentation distance影响用户在虚拟环境中的感知。

5.The game developer adjusted the augmentation distance 增强距离 to improve player immersion.

游戏开发者调整了增强距离 augmentation distance以提高玩家的沉浸感。

作文

In the world of technology and data analysis, understanding complex terms is essential for effective communication and innovation. One such term that has gained traction in various fields is augmentation distance. This concept refers to the measure of how much a particular dataset or model can be enhanced or improved by incorporating additional information or features. The importance of augmentation distance lies in its ability to help researchers and practitioners identify the potential benefits of augmenting their existing datasets with new variables or observations. To illustrate the significance of augmentation distance, consider a scenario in the field of machine learning. When developing a predictive model, data scientists often rely on historical data to train their algorithms. However, the initial dataset may not capture all the relevant factors that influence the outcome. By analyzing the augmentation distance, researchers can determine how far the current dataset is from an ideal state, where all pertinent variables are included. This assessment allows them to strategically select additional data sources that could enhance the model's accuracy and reliability.Moreover, the concept of augmentation distance is not limited to machine learning; it also applies to various domains such as healthcare, marketing, and social sciences. For instance, in healthcare research, the augmentation distance can help identify gaps in patient data that might affect the outcomes of clinical trials. By recognizing these gaps, researchers can seek out additional patient information or demographic factors that could lead to more comprehensive and effective treatment plans.In marketing, understanding the augmentation distance can aid businesses in refining their customer segmentation strategies. Companies often analyze consumer behavior based on existing data, but they may overlook crucial aspects that could significantly impact their marketing efforts. By evaluating the augmentation distance, marketers can pinpoint the missing elements in their data and adjust their strategies accordingly to reach a broader audience and improve engagement.Furthermore, the concept of augmentation distance encourages a proactive approach to data collection and analysis. Instead of passively relying on available data, researchers and professionals are motivated to actively seek out new information that can bridge the gap between their current understanding and the ideal scenario. This mindset fosters innovation and drives progress across various industries.In conclusion, the term augmentation distance serves as a valuable tool for enhancing our understanding of data and its potential applications. By recognizing the importance of this concept, individuals and organizations can make informed decisions about how to improve their datasets and models. Whether in machine learning, healthcare, marketing, or other fields, the insights gained from analyzing augmentation distance can lead to more accurate predictions, better strategies, and ultimately, greater success in achieving desired outcomes. As we continue to navigate an increasingly data-driven world, embracing concepts like augmentation distance will be crucial for driving innovation and improving overall effectiveness in our endeavors.

在科技和数据分析的世界中，有效理解复杂术语对于有效沟通和创新至关重要。一个在各个领域逐渐受到重视的术语是增强距离。这个概念指的是通过结合额外信息或特征来提高特定数据集或模型的程度。增强距离的重要性在于它能够帮助研究人员和从业者识别通过增加现有数据集的新变量或观察所能带来的潜在好处。为了说明增强距离的重要性，考虑一个机器学习领域的场景。当开发预测模型时，数据科学家通常依赖历史数据来训练他们的算法。然而，初始数据集可能无法捕捉到所有影响结果的相关因素。通过分析增强距离，研究人员可以确定当前数据集距离理想状态的远近，在理想状态下，所有相关变量都被包含在内。这种评估使他们能够战略性地选择可能增强模型准确性和可靠性的额外数据源。此外，增强距离的概念不仅限于机器学习；它还适用于医疗保健、市场营销和社会科学等多个领域。例如，在医疗保健研究中，增强距离可以帮助识别可能影响临床试验结果的患者数据中的空白。通过识别这些空白，研究人员可以寻求额外的患者信息或人口统计因素，这可能导致更全面和有效的治疗方案。在市场营销中，理解增强距离可以帮助企业完善客户细分策略。公司通常根据现有数据分析消费者行为，但可能忽视了可能显著影响其营销工作的关键方面。通过评估增强距离，市场营销人员可以找出数据中的缺失元素，并相应调整策略，以覆盖更广泛的受众并改善参与度。此外，增强距离的概念鼓励对数据收集和分析采取积极主动的态度。研究人员和专业人员不再被动依赖可用数据，而是被激励去主动寻找可以弥补当前理解与理想情境之间差距的新信息。这种心态促进了创新，并推动了各个行业的进步。总之，术语增强距离作为一种有价值的工具，帮助我们加深对数据及其潜在应用的理解。通过认识到这一概念的重要性，个人和组织可以就如何改善其数据集和模型做出明智的决策。无论是在机器学习、医疗保健、市场营销还是其他领域，通过分析增强距离获得的见解都可以导致更准确的预测、更好的策略，最终在实现期望结果方面取得更大的成功。随着我们继续在一个日益数据驱动的世界中航行，接受像增强距离这样的概念将对推动创新和提高我们努力的整体有效性至关重要。