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Found 6 papers, 0 papers with code
Watching a Language Model Learning Chess
We show how it is possible to investigate how the model capacity and the available number of training data influence the learning success of a language model with the help of chess-specific metrics.
Machine Learning Based Compensation for Inconsistencies in Knitted Force Sensors
Knitted sensors frequently suffer from inconsistencies due to innate effects such as offset, relaxation, and drift.
Touch Sensing on Semi-Elastic Textiles with Border-Based Sensors
This study presents a novel approach for touch sensing using semi-elastic textile surfaces that does not require the placement of additional sensors in the sensing area, instead relying on sensors located on the border of the textile.
Evaluating a Synthetic Image Dataset Generated with Stable Diffusion
We generate synthetic images with the "Stable Diffusion" image generation model using the Wordnet taxonomy and the definitions of concepts it contains.
Detecting Satire in the News with Machine Learning
We built models with Logistic Regression and linear Support Vector Machines on a large dataset consisting of regular news articles and news from satirical websites, and showed that such linear classifiers on a corpus with about 60, 000 articles can perform with a precision of 98. 7% and a recall of 95. 2% on a random test set of the news.
