https://cemse.kaust.edu.sa/topics/rayleigh-gaussian-model
Rayleigh-Gaussian model | Computer, Electrical and Mathematical Sciences and Engineering
gaussian modelmathematical sciencesrayleighcomputerelectrical
https://openreview.net/forum?id=eS1UDhcqCn
Redefining Catalysis Predictions Through Physics-Based Gaussian Model and Data-Driven Benchmarks:...
gaussian modeldata drivenredefiningcatalysispredictions
https://ijmttjournal.org/archive/ijmtt-v66i9p514
Variance Swap Pricing under an Extension of Mean-Reverting Gaussian Model
With a rapid development of financial markets, volatility has always been a core issue in the field of financial research. The essence of a variance swap is a...
gaussian modelvarianceswappricingextension
https://pure.psu.edu/en/publications/gaussian-model-for-refractive-indexes-of-columnar-thin-films-and-/fingerprints/
Gaussian model for refractive indexes of columnar thin films and Bragg multilayers - Fingerprint -...
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https://oulurepo.oulu.fi/handle/10024/29185
Learning and correcting non-Gaussian model errors - OuluREPO
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https://www.isca-archive.org/interspeech_2011/qiao11_interspeech.html
ISCA Archive - A study on bag of Gaussian model with application to voice conversion
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https://www.quantconnect.com/forum/discussion/9799/strategy-library-addition-gaussian-naive-bayes-model/p0
Strategy Library Addition: Gaussian Naive Bayes Model - QuantConnect.com
Tutorial on training Gaussian Naive Bayes classifiers for stock forecasting added to QuantConnect\'s Strategy Library.
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https://papers.cool/venue/kundu08@interspeech_2008@ISCA
Subspace based speech enhancement using Gaussian mixture model | Cool Papers - Immersive Paper...
Traditional subspace based speech enhancement (SSE) methods use linear minimum mean square error (LMMSE) estimation that is optimal if the Karhunen Loeve...
speech enhancementsubspacebasedusinggaussian
https://irep.mbzuai.ac.ae/items/bb320770-81ec-43cb-a337-61eef71d4311
Structural Identification of Partially Observed Linear Non-Gaussian Acyclic Model: Generalized...
Conventional causal discovery approaches, which seek to uncover causal relationships among measured variables, are typically sensitive to the presence of...
structuralidentificationobservedlinearnon
https://cris.fbk.eu/handle/11582/317764
Multiple Mice Tracking: Occlusions Disentanglement using a Gaussian Mixture Model
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https://deepai.org/publication/graph-coding-for-model-selection-and-anomaly-detection-in-gaussian-graphical-models
Graph Coding for Model Selection and Anomaly Detection in Gaussian Graphical Models | DeepAI
Feb 4, 2021 - 02/04/21 - A classic application of description length is for model selection with the minimum description length (MDL) principle. The focus ...
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