Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data
Authors: Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao3454-3461
AAAI 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Finally, we conduct a series of experiments to evaluate the performance of our ELR statistics as compared to state-of-the-art linear statistics. |
| Researcher Affiliation | Collaboration | 1Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE 2King Abdullah University of Science and Technology (KAUST), Saudi Arabia 3University of Macau, China, 4Tianjin University, China, 5Institute of Information Engineering, CAS, China 6Technology and Engineering Center for Space Utilization, CAS, China |
| Pseudocode | No | The paper describes methods algorithmically but does not include any explicit pseudocode blocks or figures. |
| Open Source Code | No | The paper states 'All implementations are in Python and R' but does not provide any link to source code or explicitly state that it is open-sourced. |
| Open Datasets | Yes | The first set of experiments are conducted on two Gaussians p(x) = N(x|0, Id) and q(x) = N(x|0, v Id)... |
| Dataset Splits | No | The paper mentions 'n' samples for experiments but does not specify how data was split into training, validation, or test sets. |
| Hardware Specification | No | The paper does not provide any specific hardware details such as GPU models, CPU types, or memory specifications used for running the experiments. |
| Software Dependencies | No | The paper states 'All implementations are in Python and R' but does not provide specific version numbers for these languages or any libraries used. |
| Experiment Setup | Yes | Because Gaussian kernels are universal (Steinwart 2001), we adopt Gaussian kernels κ(x, x ) = exp γ x x 2 2 with variable width γ {2 10, 2 9, . . . , 210} as our candidate kernel set. For all evaluations, we set the significance level α = 0.05. All experiments are repeated 100 times. |