Log Probability Function
(Redirected from Log Probability)
See: Log Function, Probability Function, Negative Log Probability Function.
References
2007
- (Sutton & McCallum, 2007) ⇒ Charles Sutton, and Andrew McCallum. (2007). “An Introduction to Conditional Random Fields for Relational Learning.” In: (Getoor & Taskar, 2007).
- Another well-known classifier that is naturally represented as a graphical model is logistic regression (sometimes known as the maximum entropy classifier in the NLP community). In statistics, this classifier is motivated by the assumption that the log probability, [math]\displaystyle{ \log p(y \vert x) }[/math], of each class is a linear function of x, plus a normalization constant.