Markov Logic Networks are still about finding coefficients for a probability dis... | Hacker News

Hacker Newsnew | past | comments | ask | show | jobs | submit

		salty_biscuits on Sept 2, 2018 \| parent \| context \| favorite \| on: Time Series Prediction Using LSTM Deep Neural Netw... Markov Logic Networks are still about finding coefficients for a probability distribution over some process. My opinion is that there is only curve fitting. There is data and a minimum complexity model that can reproduce the data with minimum error. So do you really believe that there are physical processes where this approach will fail?

srean on Sept 3, 2018 [–]

There is more to Markov Logic than estimating parameters. That's the "unification" part of the Markov logic, the analogue of https://en.wikipedia.org/wiki/Unification_(computer_science)

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact