An analysis technique that has been applied to eliminating spam. It "learns" to differentiate real mail from advertising by examining the words and punctuation in large samples of both types of ...
Bayesian spam filtering is based on Bayes rule, a statistical theorem that gives you the probability of an event. Bayesian filtering is used to give you the probability that a certain email is spam. 2 ...
The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...
Research in this industry seeks to improve the perception, inference reliability, performance, and robotics capability on autonomy and collaboration. College of Engineering Technology faculty do this ...
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