10 citations · 10 across the 4 of their papers we have counts for
4 papers
Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media
Gerhard Paaß, Sven Giesselbach
This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Na…
Second Order Probabilities for Uncertain and Conflicting Evidence
Gerhard Paaß
In this paper the elicitation of probabilities from human experts is considered as a measurement process, which may be disturbed by random 'measurement noise'. Using Bayesian conce…
Integrating Probabilistic Rules into Neural Networks: A Stochastic EM Learning Algorithm
Gerhard Paass
The EM-algorithm is a general procedure to get maximum likelihood estimates if part of the observations on the variables of a network are missing. In this paper a stochastic versio…
MESA: Maximum Entropy by Simulated Annealing
Gerhard Paaß
Probabilistic reasoning systems combine different probabilistic rules and probabilistic facts to arrive at the desired probability values of consequences. In this paper we describe…