Процесс Дирихле

Historically, unsupervised learning tech- niques have lacked a principled technique for selecting the number of unseen compo- nents. Research into non-parametric priors, such as the Dirichlet process, has enabled in- …...

We extend previous work on fully unsu- pervised part-of-speech tagging. Using a non-parametric version of the HMM, called the infinite HMM (iHMM), we ad- dress the problem of choosing the …...

AbstractFinding word boundaries in continuous speech is challenging as there is little or no equivalent of a ‘space’ delimiter between words. Popular Bayesian non-parametric models for text segmentation (Goldwater et …...