相关实验视频
Updated: Jul 9, 2025

13:51
Cross-Modal Multivariate Pattern Analysis
Published on: November 9, 2011
20.0K
通过以最佳标签转换进行分类来对分类数据进行两变因果发现
1Department of Statistics, Texas A&M University, College Station, TX 77843.
Advances in neural information processing systems
|November 30, 2023
概括
我们为分类数据引入了一个新的因果模型,使用最佳标签排列 (COLP) 的分类. 这种方法使可靠的因果定向学习成为可能,并且优于现有的方法.
科学领域:
- 因果推理的原因推理.
- 机器学习是机器学习.
- 分类数据分析数据分析.
背景情况:
- 对定量数据而言,因果发现已经很成熟,但对于分类数据而言仍然具有挑战性.
- 目前用于分类因果发现的现有方法往往缺乏识别性或节性.
研究的目的:
- 提出一种新,可识别和节的因果模型,专门为分类数据设计.
- 开发一种简单的算法,用于学习分类数据集中的因果方向.
- 根据当前最先进的方法评估拟议模型的性能.
主要方法:
- 开发一种新的分类模型:以最佳标签转换 (COLP) 进行分类.
- 利用COLP的节性质来确保一个可被证明的可识别的因果模型.
- 使用因果和反因果模型之间的概率比较来学习因果方向.
主要成果:
- 提出的基于 COLP 的因果模型在实验中表现良好.
- 该方法有效地学习了对分类数据的因果方向.
- 使用合成和现实世界数据集的实证验证证了该模型的有效性.
结论:
- 基于COLP的因果发现模型为分类数据提供了显著的进步.
- 开发的算法提供了一种实际的方法来识别因果关系.
- 一个R包 (COLP) 发布,包括算法和用于未来研究的基准数据集.
相关概念视频
How Data are Classified: Categorical Data
33.1K
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.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
33.1K
Contingency Table
2.5K
A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
2.5K
Binomial Probability Distribution
10.9K
A binomial distribution is a probability distribution for a procedure with a fixed number of trials, where each trial can have only two outcomes.
The outcomes of a binomial experiment fit a binomial probability distribution. A statistical experiment can be classified as a binomial experiment if the following conditions are met:
There are a fixed number of trials. Think of trials as repetitions of an experiment. The letter n denotes the number of trials.
There are only two possible outcomes,...
The outcomes of a binomial experiment fit a binomial probability distribution. A statistical experiment can be classified as a binomial experiment if the following conditions are met:
There are a fixed number of trials. Think of trials as repetitions of an experiment. The letter n denotes the number of trials.
There are only two possible outcomes,...
10.9K
Classification of Systems-II
149
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
149
Classification of Systems-I
188
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
188
Randomized Experiments
7.0K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Simple randomization
Simple...
7.0K

