Examples of 'probabilistic model' in a sentence

Meaning of "probabilistic model"

A probabilistic model is a mathematical model that is used to represent uncertain quantities by assigning probabilities to different outcomes or events

How to use "probabilistic model" in a sentence

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probabilistic model
A probabilistic model is a mathematical description of an uncertain situation.
Entropy is defined in the context of a probabilistic model.
A probabilistic model showed no acute risk.
A sample point is a point of the probabilistic model.
Probabilistic model for a positioning technique.
The noisy channel is a probabilistic model.
A simple probabilistic model of these data is used in particular to identify candidates.
This is the motivation to propose a new probabilistic model.
The utilization of a probabilistic model of simple random sample was contemplated.
A good way to explain a dataset is to apply a probabilistic model to it.
The utilization of a probabilistic model prevents this type of cognitive error.
We also implemented a simplified method using the probabilistic model we proposed.
We seek a probabilistic model that best explains the observation sequence.
It is similar to the probabilistic model.
A probabilistic model to detect peak locations and peak amplitudes is constructed.

See also

You could have trees and have a probabilistic model of them.
Its probabilistic model can directly handle situations where some data are missing.
The final decision to accept or reject a model hypothesis is based on a detailed probabilistic model.
A colour model is a probabilistic model for the colour distribution of pixels.
Principles of large deviations may be effectively applied to gather information out of a probabilistic model.
A probabilistic model for the service life prediction of masonry and masonry materials.
The key idea is that the complexity of the probabilistic model must be considered.
Brownian motion is a probabilistic model used in mathematics to describe the random motion of particles.
The estimation of the weather hazard is made using a probabilistic model as described later.
A probabilistic model of local sequence alignment that simplifies statistical significance estimation.
The method is cyclic and uses a probabilistic model to present project data to the scrummaster.
Probabilistic model for predicting action or behavior from stored data from the past.
This variational density is defined in relation to a probabilistic model that generates outcomes from causes.
Those methods ignore the uncertainty related to the choice of the underlying probabilistic model.
This probability can be predicted by a probabilistic model modeling the validity behavior of prepared results.
Probabilistic model is called a Markov chain.
Occasional classification errors are caught and rectified based on a probabilistic model of hand position reachability.
This probabilistic model is advantageously represented by a Bayesian network.
From this first probabilistic representation of features a probabilistic model is generated for each object.
The probabilistic model maybe a Bayesian network model.
The combination of these two models provides a complete probabilistic model for vehicle evolution in time.
Thus, the probabilistic model of the sensor is.
This algorithm combines impressions and activations within a probabilistic model that indicates the traffic generated.
Figure 2 illustrates a probabilistic model predicting decreasing accuracy of a pre-computed search result over time.
Predictive modelling of signalling pathways via probabilistic model checking with PRISM.
Figure 6 illustrates a probabilistic model PM that is the result of such a combination of submodels.
Middle-out is based on a completely new probabilistic model.
Using this data, a probabilistic model of degradation was proposed.
Finally, life of concretes in marine environment has been predicted by a probabilistic model.
Sometimes patterns are defined in terms of a probabilistic model such as a hidden Markov model.
Linear regression, logistic regression, and Poisson regression are directly motivated by a probabilistic model.
Wideband mobile stations can receive the probabilistic model vía the radio interfaz RI.
Now the problem was even though I had 4 billion words from which I trained by probabilistic model.
Thus, we defined a probabilistic model respecting two main constraints.
That is, I have said for my probabilistic model.

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Examples of using Probabilistic
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