Information | |
---|---|
has gloss | eng: Sparse binary polynomial hashing (SBPH) is a generalization of Bayesian filtering that can match mutating phrases as well as single words. SBPH is a way of generating a large number of features from an incoming text automatically, and then using statistics to determine the weights for each of those features in terms of their predictive values for spam/nonspam evaluation. |
lexicalization | eng: Sparse binary polynomial hashing |
instance of | e/Bayesian inference |
Lexvo © 2008-2024 Gerard de Melo. Contact Legal Information / Imprint