10 datasets found

A synthetic dataset is a data object that is generated programmatically, and it may be valuable to creating a single dataset from multiple sources when direct collection is...

Synthetic EHRs can offer a potential solution as they yield a database that is beyond de-identification hence immune to re-identification, while preserving temporal patterns in...

The dataset used in this paper is the Intrusion dataset, which comprises 494,021 samples and 39 information characteristics used to classify connections in a military network...

The dataset used in this paper is the King dataset, which is a regression dataset containing 21,613 house sale prices for King County, Washington, including Seattle.

The dataset used in the paper is a semi-synthetic news dataset, which simulates a dynamic ranking problem on a set of news articles belonging to two groups (left-leaning and...

House Rooms dataset is a synthetic dataset for monocular depth estimation.

Unreal Engine dataset is a synthetic dataset for monocular depth estimation.

A method of data generation in simulation using 3D synthetic environments and CycleGAN domain transfer.

The dataset used in the paper is a synthetic dataset for off-policy contextual bandits, with contexts x ∈ X, a finite set of actions A, and bounded real rewards r ∈ A → [0, 1].

A commonly observed pattern in machine learning models is an underprediction of the target feature, with the model’s predicted target rate for members of a given category...