In this paper, we propose a new posterior based scoring approach for keyword and non keyword (garbage) elements. The estimation.

In this paper we propose a general method to derive an upper bound for the contraction rate of the posterior distribution for nonparametric inverse problems ...

Abstract: In this paper we study posterior consistency for different topolo- gies on the parameters for hidden Markov models with finite state space.

Abstract. We study posterior contraction rates for a class of deep Gaussian process priors in the nonparametric regression setting under a general ...

Feb 11, 2022 · The asymptotic posterior normality (APN) of the latent variable vector in an item response theory (IRT) model is a crucial argument in IRT ...

Keywords and phrases: Gaussian process, Kriging, correlation function ... tail rates of the likelihood function while making sure the reference posterior is.

Abstract: Previous works on location and location-scale mixtures of nor- mals have shown different upper bounds on the posterior rates of contrac-.

ITERATIVE POSTERIOR-BASED KEYWORD SPOTTING WITHOUT FILLER MODELS ... state visited at time n along Q, with qn ∈ Q. In ... ruling the possible keyword/non-keyword ...

word w given by qw|C. Even if ̂w is not the TRUE keyword ˜w, ˜w should have a reasonably high value q ˜w|C, so if we sample enough words using the posterior.