Examples of using Probabilistic in English and their translations into Chinese
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Programming
Unlike standard statistical approaches to forecasting, prediction of individual sequences does not impose any probabilistic assumption on the data-generating mechanism.
Gen also provides high-level infrastructure for inference tasks, using diverse approaches such as optimization, variational inference, certain probabilistic methods, and deep learning.
It promises to teach models, methods and applications for solving real-world problems using probabilistic and non-probabilistic methods as well as supervised and unsupervised learning.
I like Flach especially for the grouping of algorithms(Logical models, Linear models, Probabilistic models) and the overall treatment of the themes.
The website also contains a wide range of methodological background information, such as analytical charts and the results of probabilistic fertility projections.
The core areas the company wants to address are- benchmark applications, adversarial attack mitigations, probabilistic frameworks and software and hardware optimisation.
The system's incentive structure produces a probabilistic, decentralized clock, by utilizing both greed and self-interest of competing participants.
He pioneered the field of probabilistic robotics and co-invented Google Street View.
Cognitive systems are“probabilistic, meaning they are designed to adapt and make sense of the complexity and unpredictability of unstructured information.
It should be stressed that this sort of probabilistic default is a natural and useful cognitive function.
It can be thought of as a measure of the“calibration” of a set of probabilistic predictions.
Any solution of this kind is probabilistic in nature- there is always some non-zero probability that our conclusions are wrong.
The Markov chain is a probabilistic model that uses the current state to predict the next state.
The customary topic models include PISA(Probabilistic Latent Semantic Analysis) and IDA(Latent Dirichlet Allocation).
The Markov chain is a probabilistic model that uses the current state to predict the next state.
The tool loads that data and creates multiple probabilistic programs that each represent a Bayesian model of the data.
Probabilistic epigenesis on the other hand is a bidirectional structure-function development with experiences and external molding development.
This accumulation of probabilistic knowledge continues to happen even with subliminal stimuli(13- 16).
All of the probabilistic inference and learning manipulations discussed in this book, no matter how complex, amount to repeated application of these two equations.
Therefore, in practice SNP calling and genotyping models that are probabilistic are used more.