Jove
Visualize
联系我们

相关概念视频

Decision Making01:20

Decision Making

143
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
143
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.5K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.5K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.0K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.0K
Survival Tree01:19

Survival Tree

110
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
110
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.5K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.5K
Reason and Intuition01:37

Reason and Intuition

6.5K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
6.5K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

CACRC-Pan: A Concept Annotated Case Report Corpus and Processing Pipeline for Rare Pancreatic Diseases.

Studies in health technology and informatics·2026
Same author

Human and Deep Learning Predictions of Peripheral Lung Cancer Using a 1.3 mm Video Endoscopic Probe.

Respirology (Carlton, Vic.)·2025
Same author

scCross: efficient search for rare subpopulations across multiple single-cell samples.

Bioinformatics (Oxford, England)·2024
Same author

Predicting User Preferences of Dimensionality Reduction Embedding Quality.

IEEE transactions on visualization and computer graphics·2022
Same author

Cross-border mobility responses to COVID-19 in Europe: new evidence from facebook data.

Globalization and health·2022
Same author

A machine learning based framework to identify and classify long terminal repeat retrotransposons.

PLoS computational biology·2018
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jul 19, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K

决策树:从高效的预测到负责任的AI

Hendrik Blockeel1,2, Laurens Devos1,2, Benoît Frénay3

  • 1Department of Computer Science, KU Leuven, Leuven, Belgium.

Frontiers in artificial intelligence
|August 11, 2023
PubMed
概括
此摘要是机器生成的。

决策树在机器学习和人工智能领域仍然非常重要. 本综述涵盖了它们在数据科学应用中的演变,优势和弱点.

关键词:
组合优化的优化.决策树 决策树是一个决定树.组合组合组合组合组合组合组合可以解释的人工智能AI在约束下学习.机器学习是机器学习.负责的人工智能负责的人工智能

更多相关视频

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

3.8K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K

相关实验视频

Last Updated: Jul 19, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

3.8K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K

科学领域:

  • 机器学习 机器学习
  • 数据科学数据科学数据科学
  • 人工智能的人工智能

背景情况:

  • 决策树在计算智能方面有着悠久的历史.
  • 了解它们的发展对于现代人工智能应用至关重要.

研究的目的:

  • 提供关于决策树演化的全面概述.
  • 分析决策树的优缺点.
  • 突出AI中决策树的持久实践和理论相关性.

主要方法:

  • 决策树研究的历史审查.
  • 决策树应用程序的上下文分析.
  • 优势和弱点的综合.

主要成果:

  • 在过去的40年里,决策树发生了显著的进化.
  • 主要优势包括可解释性和易用性.
  • 缺陷包括过度装配的可能性和对数据的敏感性.

结论:

  • 决策树仍然是机器学习中的重要工具.
  • 它们的理论基础和实际应用对人工智能仍然很重要.
  • 进一步的研究可以提高他们的能力和解决局限性.