This paper proposes a novel sampling algorithm tailored for CNC milling machine data, emphasizing both diversity and efficiency. The proposed method leverages the entropy concept from the information-theoretic perspective to evaluate and enhance data diversity, aiming to achieve efficient learning with ...
Entropy-based sampling for efficient training of deep learning on CNC machining dataset Mingyu Sung,1 Chaewon Park,1 Sangjun Ha,1 Minse Ha,1 Hyeonuk Lee,2 Jonggeun Kim,2 and Jae-Mo Kang1,✉ 1Kyungpook National University, Daegu, The Republic of Korea 2Industry applications research ...
The goal is to use entropy to make context aware sampling. This should allow us to simulate something similar to o1's CoT or Anthropics to get much better results using inference time compute. This project is a research project and a work in process. Its comprised of an inference stack, ...
FIG. 1 is a block diagram showing example components of a system that provides content items via information entropy-based sampling of social media, according to one example implementation FIG. 2 is a flow diagram showing example steps that may be taken to process content items into a diversity...
Zhu R (2016) Gradient-based sampling: an adaptive importance sampling for least-squares. In: Advances in neural information processing systems, pp 406–414 Download references Author information Authors and Affiliations Department of Statistics, North Carolina State University in Raleigh, Raleigh, NC, ...
In order to address challenges in performing importance sampling in a high dimensional space of random variables, the paper develops a cross-entropy-based adaptive importance sampling technique that employs a von Mises-Fisher mixture as the sampling density model. By small-size pre-samplings, the pr...
Finally, SES applies importance-biased blue noise sampling to select a set of diverse and representative samples. Comprehensive experiments in three learning scenarios—supervised learning, active learning, and continual learning— clearly demonstrate the effectiveness of...
Fig. 2: ROGUE use and performance. Full size image To address the potential concern that the number of cells may represent an intrinsic challenge for S and ROGUE calculation, particularly if only a small number of cells are collected from given samples, we performed down sampling analysis to ...
Regarding my second question ‘How reliable is the proposed method? The authors should show the undersampling pattern.’ The authors have done something wrong. For the 2D MRI data, the frequency encoding direction is always very fast and doesn’t need undersampling to accelerate. The applied 2D...
After applying the MaxEnt framework, the synthesized scenes show that the proposed strategy can generate reasonably similar scenes to the training examples without any human supervision during sampling.doi:10.1142/S1793351X13400047Mesfin A. Dema