Skip to search formSkip to main contentSkip to account menu

Perplexity

Known as: Perplexity consumer, Perplexities, PP 
In information theory, perplexity is a measurement of how well a probability distribution or probability model predicts a sample. It may be used to… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
One of the ways criminals steal identity in the cyberspace is using phishing. Attackers host phishing websites that resemble a… 
2004
2004
Content-based image retrieval (CBIR) addresses the problem of finding images relevant to the users' information needs, based… 
2003
2003
This paper highlights the interest of a language modelin increasing the performances of on-line handwritingrecognition systems… 
2000
2000
Transformation-based learning has been successfully employed to solve many natural language processing problems. It has many…