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 ...
Entropy Based Sampling and Parallel CoT Decoding The goal is to replicate o1 style CoT with open source models Current supported models: llama3.1+ Future supported models: DeepSeekV2+ Mistral Large (123B) Getting Started install poetry curl -sSL https://install.python-poetry.org | python3 - ...
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...
Since HiCS integrated with a random sampling process, we perform experiment on each dataset 10 times, then pick up the average value of the results. SOD in this experiment is with parameters: SOD.SharedNearestNeighbor = 100; SOD.kNN = 100. For a fair comparison, k in kNN algorit...
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...
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 ...
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...
Cross-entropy-based adaptive importance sampling using von Mises-Fisher mixture for high dimensional reliability analysis In order to address challenges in performing importance sampling in a high dimensional space of random variables, the paper develops a cross-entropy-based ... Z Wang,J Song - 《...
We employ a selective sampling technique, based on boosting, which dramatic... Y Abramson,Y Freund 被引量: 66发表: 2005年 Next best viewpoint (NBV) planning for active object modeling based on a learning-by-showing approach The paper presents a new method of creating a complete model of ...