Language Modelling
Tags: #machine learningEquation
$$p(x)=\prod^{n}_{i=1} p(s_{n}|s_{1},...,s_{n-1})$$Latex Code
p(x)=\prod^{n}_{i=1} p(s_{n}|s_{1},...,s_{n-1})
Have Fun
Let's Vote for the Most Difficult Equation!
Introduction
Latex Code
p(x)=\prod^{n}_{i=1} p(s_{n}|s_{1},...,s_{n-1})
Explanation
- : Language modeling is usually framed as unsupervised distribution estimation from a set of examples of
- : Variable length sequences of symbols
- : Factorize the joint probabilities over symbols p(x) as the product of conditional probabilities
Reply