Примеры использования Probabilistic models на Английском языке и их переводы на Русский язык
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Probabilistic models in the humanities: basic theses of practical course.
Learning and inference methods for probabilistic models using tensor decomposition.
During five days they read lectures about neuro-Bayesian methods,important aspects of neural networks training and probabilistic models.
Grammar induction has also been used in some probabilistic models of language acquisition.
LINIS researcher Sergei Koltcov gave a talk on the basic notions of topic modeling, Gibbs sampling for LDA and, generally,for inference in probabilistic models.
Mini-workshop Stochastic Processes and Probabilistic Models in Machine Learning.
Development of statistic and probabilistic models of rock mechanical and qualimetric properties distribution during subsurface resources geometrization, sonic survey of worked-out areas geometrical parameters.
Bayesian programming is a formalism and a methodology for having a technique to specify probabilistic models and solve problems when less than the necessary information is available.
Hidden Markov models are probabilistic models that can assign likelihoods to all possible combinations of gaps, matches, and mismatches to determine the most likely MSA or set of possible MSAs.
Ilya Tolstikhin acquainted listeners with a common approach for understanding two popular deep probabilistic models today: generative adversarial networks and variational autocoders.
Keywords: information modeling, probabilistic models, mathematical statistics, applied linguistics.
The possibility theory as a mathematical model of randomness and fuzziness phenomena is considered in a variant that enables the modeling of both probabilistic randomness,including that inherent in unpredictably evolving stochastic objects whose probabilistic models cannot be empirically reconstructed and nonprobabilistic randomness(fuzziness) inherent in real physical, technical, and economical objects, human-machine and expert systems, etc.
The article shows importance of practical course«Probabilistic models in the humanities» for perception of basic theses and methods of stochastic modelling in vocational training of bachelors of linguistics.
The more complex problems require building probabilistic models with neural networks as one of the components.
Grant RFBR 12-01-33085"Learning probabilistic models for image recognition, scanning data processing, computer vision.
Practical course is structured in such a way, that understanding of basic terms andprinciples of creating probabilistic models facilitates further mastering of probabilistic processing of linguistic information and use of probabilistic models in linguistics.
September, 12- 13, 2017:mini-Workshop"Stochastic Processes and Probabilistic Models in Machine Learning" with participation of Wray Buntine, Maurizio Filippone, Ilya Tolstikhin and Novi Quadrianto in English.
Russian speakers told about particular projects where probabilistic models are used, and gave examples of how the methods explained in the lectures find application in solving various problems of machine learning.
A probabilistic model showed no acute risk.
Middle-out is based on a completely new probabilistic model.
Thus, the probabilistic model of the sensor is.
Entropy is defined in the context of a probabilistic model.
Nowok and Willekens(2011)propose a probabilistic model for migration processes, focusing on an assessment of the impact that different migration/migrant definitions have on measurements.
Annotation: The probabilistic model of a princi ple of recurrences is deduced and the formula of the generalized forgetting function for any number of cycles of training is derived.
Probabilistic modelling and dynamic analysis of uncertainties allow optimisation of managerial decisions with consideration of interconnection of possible risks and technical and economic parameters of projects.
The 2010 Revision was the first revision of World Population Prospects that used a probabilistic model to derive the future path of fertility in the medium variant.
The final decision to accept orreject a model hypothesis is based on a detailed probabilistic model.
It was later shown that some types of NMF are an instance of a more general probabilistic model called"multinomial PCA.
Homographies between pairs of images are then computed using RANSAC and a probabilistic model is used for verification.
The article offers algorithms of identification and analysis of risks, development andmaking the decisions based on the dynamic analysis of data, probabilistic modelling of uncertainties and risks connected with them.