74 datasets found

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the two moons dataset for experiments.

The dataset used for regression settings, including Ozone, Machine, MPG, Boston, Student, and Abalone.

The dataset used in the paper is not explicitly described, but it is mentioned that it is a class of regression models GN.

The Airbnb dataset is a large dataset containing information about apartments for rent in Chicago. The dataset includes features such as neighborhood, number of beds, amenities,...

The dataset used in the paper is a Bayesian network with a non-conjugate polynomial regression model, with global-only latent variables.

The dataset used in the paper is a real dataset from the UCI Machine Learning Repository.

The dataset used in the paper is a real dataset from the UCI Machine Learning Repository.

The dataset used in the paper is a real dataset from the UCI Machine Learning Repository.

The Diabetes dataset contains 10 variables-dimensions for a sample size (number of points) of 442 and a target (label) variable which quantifies diabetes progress.

The California Housing Dataset is a dataset containing information about housing prices in California, with nine features and a target variable of median house price.

Adult Census Income dataset is used to evaluate the fairness of deep learning models. It contains information about individuals in the United States, including age, sex,...

The dataset used in this paper is the Crime dataset, which is a real-world UCI Machine Learning Census dataset for violent state prediction.

The S-curve dataset is a 1D curve embedded in 3D space.

The dataset used in the paper is a collection of UCI regression tasks and a network pretrained for face age estimation.

The dataset contains examination scores of 15,362 students from 139 schools in London.

The SGEMM dataset is a regression task from the UCI repository.

The dataset used in this paper is the wine dataset, iris dataset, digits dataset, boston dataset, diabete dataset, and linnerud dataset.

The Iris dataset is a multivariate dataset introduced by Sir Ronald Fisher in his 1936 paper "The use of multiple measurements in taxonomic problems". It contains 150 samples...

The dataset used in the paper is a network of distributed agents that solve a regression problem. The agents employ the ACTC diffusion strategy, which involves adaptive...

The Boston housing dataset is a multivariate dataset containing information about housing prices in Boston. The dataset is used to demonstrate the proposed methods for...