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Synthetic Dataset for Metaparametric Neural Networks
A synthetic dataset used to evaluate the performance of the proposed metaparametric neural network framework. -
Synthetic Dataset for CLEAR Algorithm
The dataset used in the paper is a synthetic dataset for testing the CLEAR algorithm. -
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... -
Synthetic Dataset for Continuous Covariate Shift
The dataset used in this paper is a synthetic dataset generated from two fixed distributions and a time-varying mixture proportion. -
Synthetic Dataset for T-Phenotype Evaluation
A synthetic dataset for evaluating the performance of T-Phenotype. -
Synthetic Dataset
The dataset used in this work is a custom synthetic dataset generated using the liquid-dsp library, containing 600000 examples of each of 13.8 million examples, with SNRs... -
Synthetic-Independent
The temporal domain is generated by a Hawkes process, and the intensity function is defined as follows: λ(t, |Ht) = 0.2 + ∑[t < ti] (0.2e^(-0.2(t-t-ti)) + 4e^(-10(ti-t)))....
