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Found 5 papers, 1 papers with code
Understanding jumps in high frequency digital asset markets
While attention is a predictor for digital asset prices, and jumps in Bitcoin prices are well-known, we know little about its alternatives.
Computational Approaches to Access Probabilistic Population Codes for Higher Cognition an Decision-Making
In recent years, research unveiled more and more evidence for the so-called Bayesian Brain Paradigm, i. e. the human brain is interpreted as a probabilistic inference machine and Bayesian modelling approaches are hence used successfully.
Neuroscientific User Models: The Source of Uncertain User Feedback and Potentials for Improving Recommendation and Personalisation
Recent research revealed a considerable lack of reliability for user feedback when interacting with adaptive systems, often denoted as user noise or human uncertainty.
Human-Computer Interaction Neurons and Cognition
Neuroscientific User Models: The Source of Uncertain User Feedback and Potentials for Improving Web Personalisation
In this paper we consider the neuroscientific theory of the Bayesian brain in the light of adaptive web systems and content personalisation.
Human Uncertainty and Ranking Error -- The Secret of Successful Evaluation in Predictive Data Mining
One of the most crucial issues in data mining is to model human behaviour in order to provide personalisation, adaptation and recommendation.
