作者: Assaf Ben-Yishai , David Burshtein
DOI:
关键词: Estimation theory 、 Artificial intelligence 、 Equivalence (measure theory) 、 Set function 、 Pattern recognition 、 Computer science 、 Training set 、 Estimator
摘要: A parameter estimator for estimating a set of parameters pattern recognition has recognizer receiving training having members. The performs on the members using current and based upon predetermined group elements. generator associated with generates at least one equivalence containing recognized set, which are used by target function determiner to calculate parameters. maximizer updates so as maximize calculated function.