19 datasets found

Memory Association Networks (MANs) that memorize and remember any data. This neural network has two memories. One consists of a queue-structured short-term memory to solve the...

The authors used ten standard datasets, including Abalone, Car, Chess, Glass, Ionosphere, Iris, Liver, Redwine, Seeds, and Divorce.

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.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a combination of datasets from the scikit-learn library and the UCI machine...

The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of intelligent services and applications empowered by artificial intelligence...

NNSynth: Neural Network Guided Abstraction-Based Controller Synthesis for Stochastic Systems

The dataset of publications affiliated with the top 25 companies by affiliations with the top-100,000 most cited AI and ML works, and notable ML systems.

The dataset used for the experiments in this paper, which includes terrain relative navigation (TRN) system data.

The dataset used for the experiments in this paper, which includes guidance, navigation, and control (GNC) algorithm data.

The dataset used for benchmarking machine learning force fields (MLFF) and jet tagging.

The dataset is used to study the size and width of autoencoders consisting of Boolean threshold functions.

The MNIST and CIFAR-10 datasets are used to test the theory suggesting the existence of many saddle points in high-dimensional functions.

Retrieving labels for noisy input patterns.

Self-organization to exponential capacity.

Robust exponential memory in Hopfield networks.

Associative content-addressable memory with exponentially many robust stable states and robust error correction.

The dataset contains data from human-level control through deep reinforcement learning.

A collection of heterogeneous visual reasoning data sets and an interesting benchmark for two reasons: First, visual reasoning programs tend to be large (in current program...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used several continuous control environments from the OpenAI Gym.