-
Bank of Portugal dataset
The dataset used in this paper is a publicly available dataset from the financial industry. -
Restricted Boltzmann Machine for Combinatorial Optimization and Integer Facto...
The dataset used in this paper is a Restricted Boltzmann Machine (RBM) for combinatorial optimization and integer factorization. -
Mixtral of Experts
The dataset used in the paper for instruction following task -
Uncertainty estimation of machine learning spatial precipitation predictions ...
This dataset is used for merging satellite and gauge-measured precipitation data. It contains 91,623 samples with 17 predictor variables. -
Predicting Football Match Outcomes with eXplainable Machine Learning and the ...
The Premier League match data covering the 2019-2021 seasons. -
Adam: A method for stochastic optimization
This dataset is used to test the robustness of watermarking methods against adaptive attacks. -
Score Dynamics
Score dynamics is a computational method to scale up molecular dynamics simulations both spatially and temporally. -
HTC-DC Net
The proposed network utilizes a classification-regression paradigm with a ViT to incorporate holistic features and local features. The regression phase with hybrid regression... -
Heightmap and ACE Evaluation Dataset
A dataset of heightmaps and corresponding ACE evaluations to train a machine learning model to predict ACE values. -
Synthetic dataset for distorted greedy algorithm
The dataset used in the paper is a synthetic dataset generated using a generative process. It consists of 400 samples with 5 features and 4 labels. The dataset is used to... -
5 Tabular Datasets
The dataset used in the paper is a collection of 5 tabular datasets available in the scikit-learn toolkit: boston (D=13, n=506), iris (D=4, n=150), diabetes (D=10, n=442), wine... -
Learning Dynamics
The dataset used in this paper is a collection of learning dynamics, including FTRL and escort replicator dynamics. -
DBSCAN-based Nonlinear Equalizer for High-Capacity Optical Communications
The dataset used for the first nonlinear equalizer in optical communications using the traditional Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm... -
Sample Complexity of Probability Divergences under Group Symmetry
The dataset used in this paper is the LYSTO dataset, which contains whole-slide prostate cancer images. -
Air Pollution Assessment using Remote Sensing and Machine Learning
Air pollution dataset using remote sensing and machine learning to predict pollutant concentrations in the Iberian Peninsula -
Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Pre...
A dataset of synthetic dynamical systems, including the Lorenz system and a generalized cartpole problem, used to evaluate the performance of the Neural Dynamical Systems (NDS)... -
Toward an Architecture for Never-ending Language Learning
Toward an Architecture for Never-ending Language Learning. -
Deep Learning in Optical Metrology
Deep learning in optical metrology