News

Probabilistic programming for NLP has several benefits, such as being able to express domain knowledge and assumptions in a declarative and concise manner, ...
For their experiments, they created a probabilistic programming language they call Picture, which is an extension of Julia, another language developed at MIT. What's old is new.
Probabilistic programming is a paradigm or technique that combines programming tools with bayesian statistical simulation, inference methods, and machine learning components. You may argue that a deep ...
For their experiments, they created a probabilistic programming language they call Picture, which is an extension of Julia, another language developed at MIT.
There are several reasons why probabilistic programming could prove to be revolutionary for machine intelligence and scientific modelling (its potential has been noticed by US Defense Advanced ...
1. Introduction. Probabilistic Logic Programming (PLP) started in the early 90s with seminal works such as those of Dantsin (1991), Ng and Subrahmanian (1992), Poole (1993), and Sato (1995).. Since ...
Bringing probabilistic programming into AI development by James Kobielus. SHARE. When you’re programming an artificial intelligence application, ...
Probabilistic logic programming is at the intersection of two wider research fields: the integration of logic and probability and probabilistic programming. Logic enables the representation of complex ...
Probabilistic Logic Programming is at the intersection of two wider research fields: the integration of logic and probability and Probabilistic Programming. Logic enables the representation of complex ...