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LARGE-SCALE STOCHASTIC OPTIMIZATION OF NDCG SURROGATES FOR DEEP LEARNING WITH...
The dataset used in the paper is the MSLR-WEB30K dataset and the Yahoo! LTR dataset, which are the largest public LTR datasets from commercial search engines. -
Convex Optimization with Unbounded Nonconvex Oracles using Simulated Annealing
The dataset is used to test the algorithm for minimizing a convex objective function with noisy oracle. -
Two-stage Linear Adaptive Robust Optimization
The dataset used in this paper is a collection of two-stage linear adaptive robust optimization (ARO) problems with binary here-and-now variables and polyhedral uncertainty sets. -
Stochastic Concept Bottleneck Models
Concept Bottleneck Models (CBMs) have emerged as a promising interpretable method whose final prediction is based on intermediate, human-understandable concepts rather than the... -
CEC-2017 Benchmark Functions
The CEC-2017 benchmark functions dataset is used to evaluate the performance of optimization algorithms. It contains 30 functions with different characteristics, including... -
Discriminative Deep Forest (DisDF)
A Discriminative Deep Forest (DisDF) as a metric learning algorithm is proposed in the paper. -
KEEL repository
The Knowledge Extraction based on Evolutionary Learning (KEEL) repository contains 64 datasets for the experiments. -
Signal Interfered IQ dataset (SIIQ)
A supervised SNR classification application is under investigation as an example for MUL interference cancellation. The dataset DU = (x(i), γ(i)) (i ∈ {1, 2,..., T}) where γ(i)... -
Stability and Generalization of Stochastic Compositional Gradient Descent Alg...
The dataset used in the paper is a stochastic compositional optimization problem, which is a type of machine learning task. The dataset is not explicitly described, but it is... -
Autonomous Catheterization with Open-Source Simulator and Expert Trajectory
Endovascular robots have been actively developed in both academia and industry. However, progress toward autonomous catheterization is often hampered by the widespread use of... -
OpenML dataset
OpenML dataset -
MIT Open Learning Library dataset
MIT Open Learning Library dataset -
Google Machine Learning Crash Course dataset
Google Machine Learning Crash Course dataset -
Kaggle InClass dataset
Kaggle InClass dataset -
Developing Open Source Educational Resources for Machine Learning and Data Sc...
Open Source Educational Resources (OSER) for Machine Learning and Data Science -
Ten standard datasets
The authors used ten standard datasets, including Abalone, Car, Chess, Glass, Ionosphere, Iris, Liver, Redwine, Seeds, and Divorce. -
XOR dataset
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a toy example (XOR problem) and ten standard datasets. -
COVID-19 Dataset for Saudi Arabia
COVID-19 dataset compiled and preprocessed from the official daily report of the Ministry of Health of Saudi Arabia for COVID-19 cases and historical weather data.
