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Artificial intelligence models show massive gaps on traditional human intelligence tests
Artificial intelligence programs designed to process and generate text show remarkably high verbal reasoning abilities, but ...
Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
Abstract: In 1997, we proposed the fuzzy-possibilistic c-means (FPCM) model and algorithm that generated both membership and typicality values when clustering unlabeled data. FPCM constrains the ...
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