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Such issues can be limited by applying a probabilistic approach.
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The proposed method fine tunes the breakpoint calls by applying a novel probabilistic framework that incorporates the empirical fragment length distribution to score each feasible breakpoint.
We made the model probabilistic by applying a relevant distribution for each variable in the model.
In this respect, we aimed at revisiting tunicate 18S-rRNA phylogeny by using a wider taxonomic sampling targeted at these crucial groups, and by applying a range of phylogenetic-reconstruction approaches in a probabilistic framework.
Svarer et al. [9] reduced the individual variability by applying a warping algorithm to several segmented brains to estimate probabilistic ROIs for an individual brain.
Next, local parameter distributions were estimated by applying a particle filter to each parameter within the broad range, while other parameters were varied according to the probabilistic distributions obtained by the global optimization process.
A novel hierarchical probabilistic model, namely csGM-LDA, is presented by combining the labeling strength of topic supervision with the flexibility of topic discovery, and can be effectively modeled by applying a variational EM algorithm.
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By applying an input-delay approach, the probabilistic sampling system is transformed into a continuous time-delay system with stochastic parameters in the system matrices.
By applying an input-delay method, the probabilistic sampling system is converted into a continuous-time system including stochastic parameters in the system matrices.
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