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Found 4 papers, 1 papers with code
On the Stability of a non-hyperbolic nonlinear map with non-bounded set of non-isolated fixed points with applications to Machine Learning
This paper deals with the convergence analysis of the SUCPA (Semi Unsupervised Calibration through Prior Adaptation) algorithm, defined from a first-order non-linear difference equations, first developed to correct the scores output by a supervised machine learning classifier.
Unsupervised Calibration through Prior Adaptation for Text Classification using Large Language Models
These models are usually trained with a very large amount of unsupervised text data and adapted to perform a downstream natural language task using methods like fine-tuning, calibration or in-context learning.
Towards an Hybrid Hodgkin-Huxley Action Potential Generation Model
Mathematical models for the generation of the action potential can improve the understanding of physiological mechanisms that are consequence of the electrical activity in neurons.
Cross-domain Sentiment Classification in Spanish
In this work we perform a study on the ability of a classification system trained with a large database of product reviews to generalize to different Spanish domains.
