Sentence examples for based on probabilistic modelling from inspiring English sources

A startup out of Cambridge called Prowler.io is developing a new kind of decision-making platform based on probabilistic modelling, reinforcement learning and game theory that it believes may help the AI community answer that question with a "yes".

41 43 Unlike traditional clustering approaches (eg, cluster analysis), LCA groups participants together based on probabilistic modelling using finite mixture distributions; this yields a better set of statistical criteria for examining model fit and has been proven to have lower misclassification rates.

Finally, one must consider that analyses like these are based on probabilistic models where level of significance is arbitrarily chosen (and conventionally set at 5%), and the decision to thrombolyse is left to the clinicians who determine their own limits regarding taking chances while offering the therapy.

We analyze the properties of the AID service based on probabilistic models.

First, fusion based on probabilistic models, second, fusion based on least-squares techniques and third, intelligent fusion.

Therefore, in the second stage of the paper, regional pdfs are constructed using bootstrapping distributions based on probabilistic models.

In recent years, a new class of EAs called estimation of distribution algorithms (EDAs) has emerged based on probabilistic modeling of the search space.

To imitate the teaching-learning phenomenon in the real world, the HDTLM is composed of three phases, i.e. discrete teaching phase based on probabilistic model, discrete learning phase based on hierarchical structure, and reinforcement learning.

This paper introduces a novel methodology based on probabilistic model checking, for the analysis of the reliability, availability, safety and performance-area tradeoffs of safety-critical systems for early design decisions.

Our experiments in force-dynamic state inference show that our technique provides significantly improved accuracy and speed relative to a variety of recent, hand-coded, non-trainable systems, and a trainable system based on probabilistic modeling.

Specifically, he said the available data tends to be less reliable because it's based on "probabilistic modeling".