Results 11 to 20 of about 102,586 (261)
Compressive Gaussian Mixture Estimation [PDF]
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013 When performing a learning task on voluminous data, memory and computational time can become prohibitive. In this chapter, we propose a framework aimed at estimating the parameters of a density mixture on training data in a compressive manner by computing a low-dimensional sketch of the data.
Bourrier, Anthony +2 more
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Classifying Exoplanets with a Gaussian Mixture Model
The Open Journal of Astrophysics, 2018 Recently, Odrzywolek and Rafelski have found three distinct categories of exoplanets, when they are classified based on density. We first carry out a similar classification of exoplanets according to their density using the Gaussian Mixture Model ...
Soham Kulkarni, Shantanu Desai
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Analysis of Information-Based Nonparametric Variable Selection Criteria
Entropy, 2020 We consider a nonparametric Generative Tree Model and discuss a problem of selecting active predictors for the response in such scenario. We investigated two popular information-based selection criteria: Conditional Infomax Feature Extraction (CIFE) and ...
Małgorzata Łazęcka, Jan Mielniczuk
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Entropy-Based Anomaly Detection for Gaussian Mixture Modeling
Algorithms, 2023 Gaussian mixture modeling is a generative probabilistic model that assumes that the observed data are generated from a mixture of multiple Gaussian distributions. This mixture model provides a flexible approach to model complex distributions that may not
Luca Scrucca
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Statistical modeling of the sea surface in the presence of abnormal waves [PDF]
E3S Web of Conferences, 2023 A wide range of fundamental and applied problems requires a detailed description of the statistics of abnormal sea waves (freak waves or rouge waves). These waves are characterized not only by a change in ener-gy, but also by strong nonlinearity, leading
Zapevalov A., Knyazkov A.
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Prediction of operating dynamics in floating-zone crystal growth using Gaussian mixture model
Science and Technology of Advanced Materials: Methods, 2022 We have applied a Gaussian mixture regression to the prediction of operation dynamics in floating zone crystal growth as an example of a materials process.
R. Omae, S. Sumitani, Y. Tosa, S. Harada
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Gaussian-Mixture Umbrella Sampling [PDF]
The Journal of Physical Chemistry B, 2009 We introduce the Gaussian-mixture umbrella sampling method (GAMUS) , a biased molecular dynamics technique based on adaptive umbrella sampling that efficiently escapes free energy minima in multidimensional problems. The prior simulation data are reweighted with a maximum likelihood formulation, and the new approximate probability density is fit to a ...
Paul, Maragakis +2 more
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IEEE Access, 2020 Customized production, quality variation of raw materials and other factors make industrial processes work in multiple operating modes. In general, complex industrial processes have strong nonlinearity under each operating mode. In this paper, a Gaussian
Peng Tang +4 more
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Improved Bearings-Only Multi-Target Tracking with GM-PHD Filtering
Sensors, 2016 In this paper, an improved nonlinear Gaussian mixture probability hypothesis density (GM-PHD) filter is proposed to address bearings-only measurements in multi-target tracking.
Qian Zhang, Taek Lyul Song
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Gaussian Mixture Convolution Networks
CoRR, 2022 To be published in ICLR ...
Celarek, Adam +4 more
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