Examples of 'probability model' in a sentence
Meaning of "probability model"
probability model: A probability model is a mathematical representation of a random phenomenon that consists of two parts: a sample space and a probability measure. It is used to describe and analyze the likelihood of different outcomes or events
How to use "probability model" in a sentence
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probability model
Formulate a probability model for the data.
An alternative specification of the linear probability model.
Construct a probability model for tossing a fair coin.
The results are from a linear probability model.
Spatial probability model for the distribution of grocery trade.
The numerator is equivalent to the joint probability model.
A context represents a probability model for a class of coded bins.
So he decided to use theoretical limits based on a probability model.
The selected probability model does not depend on context information.
This is a typical linear probability model.
A context model is a probability model for one or more bins of the binarized symbol.
The fourth stage involves updating the probability model.
Recovery probability model.
Rather than use linear regression we would use a probability model.
Appreciate the power of using a probability model by comparing experimental results with mathematical expectations.
See also
The results are very robust to using linear probability model instead.
See Multinomial logit for a probability model which uses the softmax activation function.
The merge left flag may be coded using merely a single probability model.
Accordingly, a different probability model is typically defined for each context.
An arithmetic coder then encodes each bin according to the selected probability model.
I worked out a probability model.
Arithmetic coding codes a sequence of bits into a single codeword based on a predetermined probability model.
Perplexity of a probability model.
For example, a probability model may be maintained as a state in a finite state machine.
Estimation is a probability model.
Preferably, the de-quantization unit comprises at least one adaptive probability model.
This required us to specify an appropriate probability model for our variable of interest.
Moreover, the probability model mapping was greatly optimized in some embodiments according to the invention.
Naïve Bayes is a conditional probability model.
The underlying probability model has been shown to predict conversion significantly better than a last-click methodology.
If ϵ is uniformly distributed, then a linear probability model is appropriate.
The system may utilize the joint probability model for both source-to-target and target-to-source translation applications.
At the decoder, a target symbol may be parsed by using the probability model.
Hence, in any case, a different probability model is typically defined for each context.
For example, at the encoder, a target symbol may be coded by using the probability model.
We developed a Bayesian probability model for mark-recapture data.
Figure 3 is a flowchart describing a training algorithm for the phrase-based joint probability model.
Thus, it is possible to apply an independent probability model for each spectral line.
Figure 2 shows alignments and probability distributions generated by the phrase-based joint probability model.
And we will talk about the noisy-channel probability model of how to do that.
The binary sample coding unit 450 lossless-codes the binary sample by using the selected probability model.
It 's a pure probability model.
The proba model lookup [ ] is a lookup table mapping a context index t to a cumulative probability model pki.
Context modeler 102 may select the probability model from a number of available probability models.
For the regular encoding engine in CABAC, in the second stage a probability model is selected.
Step 1 - Probability model defines vulnerability index.
Here, the default state refers to a predetermined value in a probability model of arithmetic coding.
The traditional probability model of occurrence of failures is shown in Fig.2.
Is this a good sentence in English? And we have a probability model for that.
The probability model of the mechanical interaction of the rough surfaces ( in Russian ) // Ibidem.
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In all probability the destination does not exist
This plan has a high probability of going south
The probability of execution and settlement is certain
Examples of using Model
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Electric machine model parameters and interface
A model of what the red baron flew
It is infinitely reusable to model objects or figurines to be moulded
